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Previous Speakers

Ergi Sener

Ergi Sener

Bonbon Tech Turkey

En-Bing Lin

En-Bing Lin

Central Michigan University USA

Nikolaos Freris

Nikolaos Freris

New York University Abu Dhabi UAE

Michael Valivullah

Michael Valivullah

National Agricultural Statistics Service USA

Karmen Kern Pipan

Karmen Kern Pipan

Ministry of Public Administration Slovenia

Bennett B. Borden

Bennett B. Borden

Drinker Biddle & Reath USA

Bertrand Hassani

Bertrand Hassani

Université Paris France

Sumit Pal

Sumit Pal

Independent Consultant (Architect, Developer) Big Data & Data Science USA

Data Mining 2018

About Conference


Conference series LLC cordially invites all participants across the globe to attend the 5th  International Conference on Big Data Analysis and Data Mining (Data Mining 2018) which is going to be held during June 20-21 in Rome, Italy 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 2018.

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 2018 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 5th   International Conference on Big Data Analysis and Data Mining during June 20 - 21, 2018 in Rome, Italy. 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

ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA

Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA

Track 2: Big Data in Nursing Research

With advances in technologies, nurse scientists are increasingly generating and using large and complex datasets, sometimes called “Big Data,” to promote and improve the health of individuals, families, and communities. In recent years, the National Institutes of Health have placed a great emphasis on enhancing and integrating the data sciences into the health research enterprise.  New strategies for collecting and analysing large data sets will allow us to better understand the biological, genetic, and behavioural underpinnings of health, and to improve the way we prevent and manage illness.

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

Related Big Data Conferences of Big Data in Nursing Research

SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global

Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

 

Track 3: Data mining and machine learning

Data mining is an area that has taken much of its inspiration and techniques from machine learning (and some, also, from statistics), but is put to different ends. Data mining is carried out by a person, in a specific situation, on a particular data set, with a goal in mind. Typically, this person wants to leverage the power of the various pattern recognition techniques that have been developed in machine learning. Quite often, the data set is massive, complicated, and/or may have special problems (such as there are more variables than observations). Usually, the goal is either to discover / generate some preliminary insights in an area where there really was little knowledge beforehand, or to be able to predict future observations accurately.

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 Data mining and machine learning

3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA

Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK

Track 4: Big Data Analytics

Big data analytics examines huge amounts of data to uncover hidden patterns, correlations and other insights With today’s technology, it’s possible to analyze our data and get answers from it almost instantly – an effort that’s slower and less efficient with more traditional intelligence solutions.

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 Big data analytics

Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA

Track 5: 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

Related Big Data Conferences of Data Mining Methods and Algorithms

Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

Track 6Artificial 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

Related Big Data Conferences of Artificial Intelligence

Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA

Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA

Track 7Data 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

AI Expo Global

Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

 

Track 8Data Mining Tools and Softwares

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:

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 Tools and Softwares

Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo GlobalApr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece

Track 9Big 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:

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

Related Big Data Conferences of Big Data Applications

Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA

Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA

Track 10Data 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:

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 Data Mining Tasks and Processes

Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global

Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA

Track 11: 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:

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 Big Data algorithm

ACM IKDD Conference on Data Science and International Conference on Management of Data Jan 11-13, Goa, India; 3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA

Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK

Track 12: 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:

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 privacy and ethics

Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA

Track 13: 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:

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

Related Big Data Conferences of Big data technologies

Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA

Track 14Data 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:

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 Data Mining analysis

ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

Track 15Cloud 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:

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 Cloud computing

Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA

Track 16Social 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:

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 Social network analysis

Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA

Track 17Complexity 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:

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

Related Big Data Conferences of Complexity and algorithms

SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

Track 18: 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:

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 Business Analytics

Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA

Track 19: 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

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 Open data

ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

Track 20Optimization 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:

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 Optimization and Big Data

3rd Conf. on Business Analytics in Finance and Industry Jan 17-19, Santiago, Chile; Global Artificial Intelligence Conference Jan 17-19, Santa Clara, CA, USA; 18th conference francophone sur l'Extraction et la Gestion des Connaissances Jan 22-26, Paris, France; Deep Learning Summit Jan 25-26, San Francisco, CA, USA; Deep Learning for Enterprise Summit Jan 25-26, San Francisco, CA, USA; , AI Assistant Summit Jan 25-26, San Francisco, CA, USA; Advanced Analytics Forum Jan 25-26,  Berlin, Germany; IQPC Applied AI Summit Feb 3-5, London, UK; Data Science SALON | MIA Feb 8-9, Miami, FL, USA; Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK

Track 21Forecasting 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:

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

Related Big Data Conferences of Forecasting from Big Data

Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA

Track 22New 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:

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 New visualization techniques 

Related Big Data Conferences of New visualization techniques

Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA; 18th Industrial Conference on Data Mining Jul 11-15,  New York, USA; 14th Int. Conference on Machine Learning and Data Mining Jul 14-19,  New York, USA; 24th ACM SIGKDD Conference on Data Science Aug 21-23, London, UK

Track 23Search 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, Germany

Related Big Data Conferences of Search and data mining

Global Predictive Analytics Forum Feb 8-9, Amsterdam, Netherlands; AI Assistant Summit Mar 15-16, London, UK; Deep Learning in Finance Summit Mar 15-16, London, UK; Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, 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

AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA; Deep Learning for Robotics Summit Jun 21-22, San Francisco, CA, USA; Int. Conference on Mass Data Analysis of Signals and Images Jul 7-10,  New York, NY, USA

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:

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 Clustering

Deep Learning in Retail and Advertising Summit Mar 15-16, London, UK; Int. Conference on Data Intelligence and Security Apr 8-10, South Padre Island, TX, USA; SAS Global Forum Apr 8-11, Denver, CO, USA; Marketing Analytics and Data Science conference Apr 11-13, San Francisco, CA, USA; Machine Intelligence Summit Apr 12-13, Hong Kong; Deep Learning Summit Apr 12-13, Hong Kong; INFORMS Business Analytics Conference - Analytics 2018 Apr 15-17, Baltimore, MD, USA; AI Expo Global Apr 18-19, London, UK; ODSC East: Open Data Science May 1-4, Boston, MA, USA; SDM'18: The 18th SIAM International Conference on Data Mining May 3-5, San Diego, CA, USA; Data Disrupt May 22-24, New York City, NY, USA; Deep Learning Summit May 24-25, Boston, MA, USA; Deep Learning in Healthcare Summit May 24-25, Boston, MA, USA; LION12: Learning and Intelligent Optimization Conference Jun 10-15, Kalamata, Greece; AI in Industrial Automation Summit Jun 21-22, San Francisco, CA, USA

Market Analysis

FRAMINGHAM, Mass., March 14, 2017 – A new update to the Worldwide Semiannual Big Data and Analytics Spending Guide from International Data Corporation (IDC) forecasts worldwide revenues for big data and business analytics (BDA) will reach $150.8 billion in 2017, an increase of 12.4% over 2016. Commercial purchases of BDA-related hardware, software, and services are expected to maintain a compound annual growth rate (CAGR) of 11.9% through 2020 when revenues will be more than $210 billion.

"After years of traversing the adoption S-curve, big data and business analytics solutions have finally hit mainstream," said Dan Vesset, group vice president, Analytics and Information Management. "BDA as an enabler of decision support and decision automation is now firmly on the radar of top executives. This category of solutions is also one of the key pillars of enabling digital transformation efforts across industries and business processes globally."

The industries that will be making the largest investments in big data and business analytics solutions in 2017 are banking, discrete manufacturing, process manufacturing, federal/central government, and professional services. Combined, these five industries will spend $72.4 billion on BDA solutions this year. They will also be the largest spenders in 2020 when their total investment will be $101.5 billion. The industries that will experience the fastest growth in BDA spending are banking (13.3% CAGR) and healthcare, insurance, securities and investment services, and telecommunications, each with a CAGR of 12.8%. It should be noted, however, that all but two of the industries covered in IDC's BDA Spending Guide will experience double-digit CAGRs from 2015-2020.

Why to Attend??

Data Mining 2018 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 Rome??

Rome is without doubt one the most exquisite cities in the world; every year millions of tourists come from around the world to eulogize the treasures and masterpieces of Roman art and architecture. Rome was the 11th-most-visited city in the world and 3rd most visited in the Europe and the most popular tourist attraction in Italy. The city is one of the world’s most triumphant city “brands”, both in terms of reputation and assets. Rome is the only city in the world to contain in its interior a whole state; the enclave of Vatican City. Rome has a status of the global city.

Rome hosts all the primary institutions of the nation. Many international institutions are located in in the city, notably cultural and scientific ones – such as the British School, the American Institute, the Scandinavian Institutes, the French Academy, the German Archaeological Institute – for the honour of scholarship in the Eternal City, and Specialized Agencies of the United Nations.

Rome’s historic centre is listed by UNESCO as a World Heritage Site. Monuments and museums such as the Colosseum and the Vatican Museums are among the world’s most visited tourist destinations with these two locations receiving millions of tourists a year. Although associated today only with Latin, ancient Rome was in fact multilingual. In most antiquity Sabine tribes shared the area of what is today Rome with Latin tribes. The Sabine language was one of the Italic groups of ancient Italian languages, along with Etruscan, which would have been the principal language of the last 3 kings who ruled the city till the founding of the Republic in 509 BC. Urganilla, or Plautia Urgulanilla, wife of Emperor Claudius is thought to be a speaker of Etruscan many centuries after this date, as per Suetonius’ entry on Claudius. However Latin, in various evolving forms, was the primary language of Rome, but as the city had immigrants, slaves, residents, ambassadors from many parts of the world it was also multilingual.

Past Conference Report

Data Mining 2017


We gratefully thank all our wonderful Speakers, Conference Attendees, Students, Media Partners, Associations and Sponsors for making Data Mining 2017 Conference the best ever!

The 4th International conference on Big Data Analysis and Data Mining, hosted by the Conferenceseries LLC was held during September 07-08, 2017 at Paris, France 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 Dr. Fairouz Kamareddine and Dr. Nikolaos  Freris for taking up the responsibility to coordinate during the sessions. We are indebted to your support.

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

  • Michael ValivullahNASS, US Department of Agriculture, USA
  • En-Bing LinCentral Michigan University, USA
  • Petra PerneInstitute of Computer Vision and applied Computer Sciences, Germany
  • Fionn Murtagh, University of Huddersfield, UK
  • Mikhail MoshkovKing Abdullah University of Science and Technology, Saudi Arabia
  • Fuad AleskerovNational Research University Higher School of Economics, Russia
  • Omar M Knio, King Abdullah University of Science and Technology, Saudi Arabia

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, Enterprise Service Outlook, CIO Applications, Haptic, Bonbon Tech  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 2017Conference Series LLC is proud to announce the "5th International Conference on Big Data Analysis and Data mining" to be held during June 20-21, 2018 at Rome, Italy.

For More details visit: https://datamining.conferenceseries.com/2017

 

 


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Conference Date 20-21 June 2018

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Past Conference Report

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What People Say....

A nice conference with competent engaged participants, offering international collaboration based on expertise.

Speaker

Jenny Lundberg,Linnaeus University,Sweden

I really enjoyed the Big Data Analysis and Data Mining 2017 Conference, as it was very educative as well as informative.I would certainly like to attend the 5th International conference on Big Data Analysis and Data Mining during 20-21 June 2018 at Rome, Italy.

Speaker

Parameshwar P. Iyer,Indian Institute of Science, India

I consider the 4 th Conference on Big Data Analysis and Data Mining as very productive since all topics were studied and presented from different perspectives by leading scientists in the field

Speaker

Fuad Aleskerov,National Research University Higher School of Economics,Russia

There is excellence in the presentations both in regard to application domain and methodology. All ranges between expertise, innovation and this includes excellent young researchers.

Speaker

Fionn Murtagh, University of Huddersfield, UK

It was really pleasure to attend at such splendid conference where I could met very interesting people and gained valuable knowledge and new friends. The international event was exceptionally well organized, lectures were up-to-date and useful, and there was enough time for networking.

Speaker

Karmen Kern Pipan,Ministry of Public Administration ,Slovenia

The conference offered a tremendous opportunity to learn and keep up with the recent developments in "Big Data Analysis and Data Mining" field. Attending this conference was a great learning experience with great networking exposure. The conference offered real time opportunities to see how university-industry collaboration can be achieved. It was very helpful in the sense that I had the chance to meet a wide diversity of professionals and academicians who are experts in their field of study. All sessions were very informative, the conference was way ahead my expectations and I truly appreciate the time and effort put forth by Conference Series members

Speaker

Ergi Sener,Bonbon Tech,Turkey

The topics discussed in the conference were very interesting and innovative. Some of the presenters were highly experienced and knowledgeable

Speaker

Prajakta Diwanji,FHNW University of Applied Sciences and Arts Northwestern, Switzerland