Theme: Future Technologies for Knowledge Discoveries in Data

Data Mining 2017

Data Mining 2017

About Conference

Conference series LLC cordially invites all participants across the globe to attend the 4th  International Conference on Big Data Analysis and Data Mining (Data Mining 2017) which is going to be held during September 07-08 in Paris, France to share the Future Technologies for Knowledge Discoveries in Data" and technology. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset, however your presence over the venue will add one more feather to the crown of Data Mining 2017.

Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Mining 2017 is comprised of the following sessions with 25 tracks and 133 sub sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time-consuming to resolve.

Target audience for the conference:

  • Data Base engineers
  • Scientists/Researchers
  • Professors
  • President/Vice president
  • Chairs/Directors
  • Data Scientists
  • Students
  • Experts and Delegates




Sessions/Tracks

Conference series LLC cordially invites all the participants from all over the world to attend 4th   International Conference on Big Data Analysis and Data Mining during September 07 - 08, 2017 in Paris, France. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Track 1: Data Mining Applications in Science, Engineering, Healthcare and Medicine

Information Mining Applications in Engineering and Medicine focuses to offer data earthmovers who wish to apply stand-out data some help with mining circumstances. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and Web Application, Medical Data Mining, Data Mining in Healthcare, Engineering data mining, Data Mining in security, Social Data Mining, Neural Networks and Data Mining, these are a portion of the jobs of data Mining.

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of Data Mining Applications in Science, Engineering, Healthcare and Medicine

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 2: Data Mining Methods and Algorithms

Data mining structures and calculations an interdisciplinary subfield of programming building is the computational arrangement of finding case in awesome information sets including techniques like Big Data Search and Mining, Novel Theoretical Models for Big Data, High execution information mining figuring's, Methodologies on sweeping scale information mining, Methodologies on expansive scale information mining, Big Data Analysis, Data Mining Analytics, Big Data and Analytics.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

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4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 3Artificial Intelligence

Automated thinking is the data performed by machines or software.AI examination is amazingly particular and centered, and is essentially isolated into subfields that a great part of the time hatred to chat with each other. It solidifies Cybernetics, Artificial creative ability, Artificial Neural structures, Adaptive Systems, Ontologies and Knowledge sharing.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

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3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 4Data Warehousing

In figuring, an information movement concentrate, by and large called an endeavor information stockroom (EDW), is a structure developed for reporting and information inspection. Information Warehousing are focal narratives of encouraged information from at least one distinct sources. This statistics warehousing merges Data Warehouse Architectures, Case examines: Data Warehousing Systems, Data warehousing in Business Intelligence, Role of Hadoop in Business Intelligence and Data Warehousing, Commercial uses of Data Warehousing, Computational EDA (Exploratory Data Analysis) Techniques, Machine Learning and Data Mining.

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Related Big Data Conferences of Data Warehousing

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 5Data Mining Tools and Software’s

Information Mining gadgets and programming ventures join Big Data Security and Privacy, Data Mining and Predictive Analytics in Machine Learning, Boundary to Database Systems and Software Systems.

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

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3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 6Big Data Applications

Tremendous data is an extensive term for data sets so significant or complex that customary data planning applications are deficient. Employments of gigantic data consolidate Big Data Analytics in Enterprises, Big Data Trends in Retail and Travel Industry, Current and future circumstance of Big Data Market, Financial parts of Big Data Industry, Big data in clinical and social protection, Big data in Regulated Industries, Big data in Biomedicine, Multimedia and Personal Data Mining

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

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4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 7Data Mining Tasks and Processes

Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as data mining task primitives. This track joins Competitive examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Scalable data pre-taking care of and cleaning procedures, Statistical Methods in Data Mining, Data Mining Predictive Analytics.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

 European Knowledge Discovery Network of Excellence

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3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 8: Big Data algorithm

Huge information is information so vast that it doesn't fit in the fundamental memory of a solitary machine, and the need to prepare huge information by productive calculations emerges in Internet seeks, system activity checking, machine learning, experimental figuring, signal handling, and a few different territories. This course will cover numerically thorough models for growing such calculations, and some provable confinements of calculations working in those models.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

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4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 9: Data privacy and ethics

In our e-world, information protection and cyber security have gotten to be typical terms. In our business, we have a commitment to secure our customers' information, which has been acquired per their express consent exclusively for their utilization. That is an imperative point if not promptly obvious. There's been a ton of speak of late about Google's new protection approaches, and the discourse rapidly spreads to other Internet beasts like Facebook and how they likewise handle and treat our own data.

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

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3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 10: Big data technologies

Huge information brings open doors as well as difficulties. Conventional information process-sing has been not able meet the gigantic continuous interest of huge information; we require the new era of data innovation to manage the episode of huge information.

Related Societies:

Technische Hochschule Ingolstadt, Germany, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

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4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 11Data Mining analysis

The basic calculations in information mining and investigation shape the premise for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications extending from logical revelation to business insight and examination.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence

Related Big Data Conferences of Data Mining analysis

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 12Cloud computing

Distributed computing is a sort of Internet-based figuring that gives shared handling assets and information to PCs and unlike devices on concentration. It is a typical for authorizing pervasive, on-interest access to a common pool of configurable registering assets which can be quickly provisioned and discharged with insignificant administration exertion. Distributed calculating and volume preparations supply clients and ventures with different abilities to store and procedure their info in outsider info trots. It depends on sharing of assets to accomplish rationality and economy of scale, like a utility over a system.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of Cloud computing

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 13Social network analysis

Informal organization investigation (SNA) is the advancement of looking at social structures using system and chart speculations. It describes arranged structures as far as lumps (individual on-screen characters, individuals, or things inside the system) and the ties or edges (connections or cooperation’s) that interface them.

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Related Big Data Conferences of Social network analysis

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 14Complexity and algorithms

Unpredictability of a calculation connotes the aggregate time required by the system to rush to finish. The many-sided quality of calculations is most generally communicated utilizing the enormous O documentation. Many-sided quality is most usually assessed by tallying the quantity of basic capacities performed by the calculation. What's more, since the calculation's execution may change with various sorts of info information, subsequently for a calculation we normally utilize the most pessimistic scenario multifaceted nature of a calculation since that is the greatest time taken for any information size.

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of Complexity and algorithms

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 15: Business Analytics

Business Analytics is the investigation of information through factual and operations examination, the arrangement of prescient models, utilization of enhancement procedures and the correspondence of these outcomes to clients, business accomplices and associate administrators. It is the convergence of business and information science.

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of Business Analytics

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 16: Open data

Open information is the feeling that a few information ought to be unreservedly accessible to everybody to utilize and republish as they wish, without confinements from right, licenses or different systems of control. The objectives of the open information development are like those of other "open" developments, for example, open premise, open equipment, open fulfilled, and open access.

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of Open data

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 17Optimization and Big Data

The period of Big Data is here: information of immense sizes is getting to be universal. With this comes the need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting; informal organization science and computational science are some of a few noticeable application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. Traditional improvement calculations are not intended to scale to occasions of this size; new methodologies are required. This workshop expects to unite analysts chipping away at unique streamlining calculations and codes fit for working in the Big Data setting.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence

Related Big Data Conferences of Optimization and Big Data

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 18Forecasting from Big Data

Enormous Data is a progressive wonder which is a standout amongst the most every now and again talked about subjects in the current age, and is relied upon to remain so within a reasonable time-frame. Aptitudes, equipment and programming, calculation design, factual centrality, the sign to commotion proportion and the way of Big Data itself are distinguished as the significant difficulties which are ruining the way toward acquiring important gauges from Big Data.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of Forecasting from Big Data

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 19: OLAP technologies

Online Analytical Processing (OLAP) is an innovation that is utilized to make choice bolster programming. OLAP empowers application clients to rapidly dissect data that has been outlined into multidimensional perspectives and chains of importance. By abridging anticipated inquiries into multidimensional perspectives preceding run time, OLAP apparatuses give the advantage of expanded execution over conventional database access devices. The vast majority of the asset serious count that is required to compress the information is done before an inquiry is submitted.

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Related Big Data Conferences of OLAP technologies

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 20: ETL (Extract, Transform and Load)

The way toward separating information from source frameworks and bringing it into the information distribution centre is ordinarily called ETL, which remains for extraction, change, and stacking. Note that ETL alludes to a wide procedure, and not three very much characterized strides. The acronym ETL is maybe excessively short-sighted, on the grounds that it overlooks the transportation stage and suggests that each of alternate periods of the procedure is particular. All things considered, the whole procedure is known as ETL.

Related Societies:

Technische Hochschule Ingolstadt, Germany

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of ETL (Extract, Transform and Load)

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 21New visualization techniques

Information representation or information perception is seen by numerous orders as a present likeness visual correspondence. It is not claimed by any one field, yet rather discovers translation crosswise over numerous It envelops the arrangement and investigation of the visual representation of information, signifying "data that has been dreamy in some schematic structure, including attributes or variables for the units of data".

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of New visualization techniques 

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 22Search and data mining

In the course of recent decades there has been an enormous increment in the measure of information being put away in databases and the quantity of database applications in business and the investigative space. This blast in the measure of electronically put away information was quickened by the achievement of the social model for putting away information and the improvement and developing of information recovery and control innovations.

Related Societies:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence

Related Big Data Conferences of Search and data mining

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 23kernel methods

In machine learning, portion techniques are a class of calculations for example investigation, whose best known part is the bolster vector machine (SVM). The general errand of example examination is to discover and think about general sorts of relations (for instance groups, rankings, chief segments, connections, characterizations) in datasets.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of kernel methods

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

Track 24: Frequent pattern mining

A Frequent example is an example that happens as often as possible in an information set. Initially proposed by [AIS93] with regards to regular thing sets and affiliation guideline digging for business sector crate investigation. Stretched out to a wide range of issues like chart mining, consecutive example mining, times arrangement design mining, content mining.

Related Societies:

International Educational Data Mining Society, United States

The Society of Data Miners: The professional body for data analytics, data science and data mining, United States

IEEE Computational Intelligence Society, United States

Action plan on Science in Society related issues in Epidemics and Total pandemics, Europe

Related Big Data Conferences of Frequent pattern mining

4th World Congress on Robotics and Artificial Intelligence October 23-24, 2017 Osaka, Japan; 6th International Conference on Biostatistics and Bioinformatics Nov 13-14, 2017 Atlanta, USA; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA; J On The Beach, bringing developers and DevOps together around Big Data  May 20-21, Malaga, Spain; PAKDD 2017: The 21st Pacific Asia Conference on Knowledge Discovery and Data Mining May 20-23, Jeju Island, Korea; 3rd DATA SCIENCE SUMMIT EUROPE - AI, Deep Learning, Predictive analytics May 29, Tel-Aviv, Israel; Machine Intelligence Summit Jun 28-29, Amsterdam, Netherlands; Predictive Analytics World Business Jun 19-22, Chicago, IL, USA; 12th International Conference on Mass Data Analysis of Images and Signals MDA 2017 Jul 8-11, New York, NY, USA; 17th Industrial Conference on Data Mining ICDM 2017 Jul 12-16, New York, NY, USA; 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM'2017 Jul 15-20, New York, NY, USA; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Sep 18-22, Skopje, Macedonia; IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Oct 19-21, Tokyo, Japan

Track 25: Clustering

Bunching can be viewed as the most essential unsupervised learning issue; along these lines, as each other issue of this kind, it manages finding a structure in a gathering of unlabeled information. A free meaning of bunching could be the way toward sorting out items into gatherings whose individuals are comparable somehow.

Related Societies:

International Educational Data Mining Society, United States

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

Related Big Data Conferences of Clustering

3rd International Conference on Data Structures and Data Mining August 17-18, 2017 Toronto, Canada; artificial intelligence 2017 June 28-29, 2017; Data Science Congress 2017 Jan 10-12, Mumbai, India; EGC 2017: Conference Extraction et Gestion des Connaissances  Jan 23-27, Grenoble, France; Chief Data and Analytics Officer Central America Jan 24-25, Mexico City, Mexico; Big Data Innovation Summit #DataVegas17 Jan 25-26, Las Vegas, NV, USA; Business Analytics Innovation Summit  #BAVegas Jan 25-26, Las Vegas, NV, USA; Deep Learning Summit Jan 26-27,  San Francisco, CA, USA; Chief Customer Officer Forum Jan 30 - Feb 1, Miami, FL, USA; Data Science Meet up Hamburg  Jan 31,  Hamburg, Germany; WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining Feb 6-10, Cambridge, UK; ODSC Japan: Big Data Analytics Feb 7-8, Tokyo, Japan; 3rd Annual Big Data & Analytics Summit Canada Feb 13-14, Toronto, ON, Canada; 8th International Conference on Information Visualization Theory and Applications - IVAPP 2017 Feb 27 - Mar 1, Porto, Portugal; Data Science Meet up Hamburg Feb 28, Hamburg, Germany; Chief Data & Analytics Officer Forum Mar 6-8, Sydney, Australia; The Fourth ACM IKDD Conferences on Data Sciences (CODS 2017) Mar 9-11, Madras, India; Machine Intelligence Summit Mar 15-16, San Francisco, CA, USA; KNIME Spring Summit 2017 Mar 15-16, Berlin, Germany; Data Science Meet up Hamburg Mar 28, Hamburg, Germany; SAS Global Forum 2017 Apr 2, Orlando, FL, USA; The Marketing Analytics and Data Science Conference  Apr 3-5, San Francisco, CA, USA; The Data Science Conference, vendor-free  Apr 20-21, Chicago, IL, USA; 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS 2017) Apr 24-26, Porto, Portugal; SDM'17: 17th SIAM International Conference on Data Mining Apr 27-29, Houston, TX, USA; Deep Learning Summit May 11-12, Boston, MA, USA; Predictive Analytics World Business May 14-18, San Francisco, CA, USA

 





Market Analysis

The Big data market has been achieving strong revenues. The Global Market Statistics shows that it has reached a revenue height of 7.39 USD (billion), 7.15 USD (billion) and 4.12 USD (billion) for services, hardware and software, respectively for the year 2013. The global market statistic also shows a revenue forecast for the global big data market from 2011 to 2017. For 2016, the source projects the global big data market is predicted to grow to more than 45 billion U.S. dollars in revenue.

Why to Attend??

Data Mining 2017 invites attendees from around the world focused on learning about Data Mining, this would be one of best opportunity to reach the largest assemblage of participants from the Data Science community. Conduct demonstrations, distribute information, meet with current and potential customers, make a splash with a new product line, and receive name recognition at this 2-day event. World renowned speakers, the most recent techniques, tactics, and the newest updates in Data Mining fields are hallmarks of this conference.

Why Paris??

The Paris Commune was a radical communist and progressive government that ruled Paris from 18 March to 28 May 1871. Taking after the annihilation of Emperor Napoleon III in September 1870, the French Second Empire quickly broken down. In its stead climbed a Third Republic at war with Prussia, which laid attack to Paris for four months. A hotbed of average workers radicalism, France's capital was basically safeguarded amid this time by the frequently politicized and radical troops of the National Guardrather than standard Army troops. In February 1871 Adolphe Thiers, the new CEO of the French national government, marked a truce with Prussia that incapacitated the Army yet not the National Guard.

Officers of the Commune's National Guard executed two French armed force commanders; and the Commune declined to acknowledge the power of the French government. The customary French Army stifled the Commune amid "La semaine sanglante" ("The Bloody Week") starting on 21 May 1871. Banters over the approaches and result of the Commune had critical impact on the thoughts of Karl Marx, who depicted it for instance of the "fascism of the working class".





Past Conference Report

Data Mining 2016

 

We gratefully thank all our wonderful Speakers, Conference Attendees, Students, Media Partners, Associations and Sponsors for making Data Mining 2016 Conference the best ever!

The 3rd International conference on Big Data Analysis and Data Mining, hosted by the Conferenceseries LLC was held during September 26-27, 2016 at London, UK based on the theme Future Technologies for Knowledge Discoveries in Data ". Benevolent response and active participation was received from the Organizing Committee Members along with Scientists, Researchers, Students and leaders from various fields of Big Data, Data Mining, who made this event a grand success.

Conferenceseries LLC expresses its gratitude to the conference Moderator, namely Burcin Ozturk Demirhanoz and Dr. Robert S Laramee for taking up the responsibility to coordinate during the sessions. We are indebted to your support.

Similarly we also extend our appreciation towards our Poster judges namely, Dr. Thomas  Sterling.

The conference was initiated with the Honorable presence of the Keynote forum. The list includes:

The meeting reflected various sessions, in which discussions were held on the following major scientific tracks:

  • Data Mining Methods and Algorithms
  • Data Mining Tasks and Processes
  • Data Mining Applications in Science, Engineering, Healthcare and Medicine
  • Big Data Applications
  • Data Mining Tools and Software
  • Data Warehousing
  • Artificial Intelligence
  • Cloud computing
  • Forecasting from Big Data
  • Complexity and algorithms
  • Open data
  • OLAP technologies
  • Big Data algorithm
  • ETL (Extract, Transform and Load)
  • New visualization techniques
  • Optimization and Big Data
  • Social network analysis
  • Search and data mining
  • Data Mining analysis
  • kernel methods
  • Frequent pattern mining
  • Clustering
  • Data privacy and ethics
  • Big data technologies
  • Business analytics

 Conference Series LLC offers its heartfelt appreciation to organizations such as Allied Academies, Andrew John Publishing Inc., New York private Equity Forum, Crowd Reviews and other eminent personalities who supported the conference by promoting in various modes online and offline which helped the conference reach every nook and corner of the globe. Conference Series LLC also took privilege to felicitate the Keynote Speakers, Organizing Committee Members, Chairs and sponsors who supported this event

With the grand success of Data Mining 2016Conference Series LLC is proud to announce the "4th International Conference on Big Data Analysis and Data mining" to be held during August 02-03, 2017 at Milan, Italy.

For More details visit: http://datamining.conferenceseries.com/2016


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