Theme: Future Technologies for Knowledge Discoveries in Data

data mining 2019
Scientific Program

Renowned Speakers

data mining 2019

Conference series LTD cordially invites all participants across the globe to attend the 6th  International Conference on Big Data Analysis and Data Mining (Data Mining 2019) which is going to be held during July 25-26 in London, the UK 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 2019.

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 2019 is comprised of the following sessions with 27 tracks and 160 sub-sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. Data mining tools predict future trends and behaviours, 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.

The target audience for the conference:

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

Conference series LTD cordially invites all the participants from all over the world to attend the 6th   International Conference on Big Data Analysis and Data Mining during July 25-26, 2019 in London, UK. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

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

Data mining is the process of discovering patterns to extract information with an intelligent method from a data set and transform the information into a comprehensible structure for further use. Data mining is the detailed examination step of the "knowledge discovery in databases" process. These applications relate Data mining structures in genuine cash related business territory examination, Application of data mining in positioning, Data mining and Web Application, Engineering data mining, Data Mining in security, Social Data Mining, Neural Networks and Data Mining, Medical Data Mining, Data Mining in Healthcare.

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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

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 Health Conditions. New strategies for collecting and detailed examination large datasets 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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 3: Big Data Technologies

Big Data is the name given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle. This makes it very important to have the skills and infrastructure to handle it intelligently. There are many of the big data solutions that are particularly popular right now fit for the use.

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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 4: Big Data Analytics

Big data analytics probe and analyse huge amounts of data to i.e., big data - to uncover hidden patterns, unknown co-relations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Operate and carry by specialized analytics systems and software, big data analytics can lay the way to various business benefits, including new revenue opportunities, more effective marketing, improved operational efficiency, competitive advantages and better customer service.

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 Analytics

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 5: Big Data Algorithm

Big data is data of wide range that it does not fit in the main memory of a single machine, and the need to process big data by organised algorithms arises in machine learning, scientific computing, signal processing, Internet search, network traffic monitoring and some other areas. Data must be processed with advanced tools (analytics and algorithms) to make meaningful 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 Algorithm

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 6: Big Data Optimization

The term Big Data is here: information of immense sizes is getting to be universal. With this, there is a need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting, informal organization science and computational science are some of meager clear application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. The long-established advance calculations are not intended to scale to occasions of this size, new methodologies are required. 

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 Optimization

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 7: Forecasting from Big Data

Big Data is a revolutionary phenomenon has recently gained some attention in response to the availability of unprecedented amounts of data and increasingly sophisticated algorithmic analytic techniques. Big data play a critical role in reshaping the key aspects of forecasting by identifying and reviewing the problems, potential, better predictions, challenges and most importantly the related applications.

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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 8: Big Data Applications, Challenges and Opportunities

Big data has increased the demand of information management so much that most of the world’s big software companies are investing in software firms specializing in data management and analytics. According to one rough calculation, one-third of the globally stored information is in the form of alphanumeric text and still image data, which is the format most useful for most big data applications. Since most of the data is directly generated in digital format, we have the opportunity and the challenge both to influence the creation to facilitate later linkage and to automatically link previously created data. There are different phases in the Big Data analysis process and some common challenges that underlie many, and sometimes all, of these phases.

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, Challenges and Opportunities

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 9: Data Mining and Machine Learning

Both data mining and machine learning are rooted in data science and generally fall under that category. They often intersect or are confused with each other, but there are a few key contrasts between the two. The major difference between machine learning and data mining is how they are used and applied in our everyday lives. Data mining can be used for a variety of purposes, including financial research, Investing, sales trends and marketing. Machine learning visible form of the principles of data mining, but can also make automatic correlations and learn from them to apply to new algorithms.

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 and Machine Learning

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 10: Data Mining Methods and Algorithms

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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 11: Data Mining Tools and Software

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

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 Tools and Software

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 12: Data Mining Tasks, Processes and Analysis

Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as the data mining task first. This track joins complete examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Statistical Methods in Data Mining, Data Mining Predictive Analytics. The basic calculations in information mining and investigation shape the theory for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications widening 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, Germany

Related Big Data Conferences of Data Mining Tasks, Processes and Analysis

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 13: Data Privacy and Ethics

In our e-world, information protection and cyber security have gotten to be respective terms. In this business, we have a commitment to secure our customer's information, which has been acquired as per their permission exclusively for their utilization. That is an all-important point if not promptly obvious. There's been a ton of speak of late about Google's new protection approaches, and the discussion rapidly spreads to other Internet beasts like Facebook and how they likewise handle and treat our own 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 Data Privacy and Ethics

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 14: Data Warehousing

In computing, a Data Warehouse (DW or DWH), also known as an Enterprise Data Warehouse (EDW), is a system used for reporting and data analysis and is considered a central component of business intelligence. Data Warehouse or Enterprise Data Warehouse is central repositories of integrated data from one or more disparate sources.

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 Warehousing

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 15: Artificial Intelligence

Automated thinking is the data performed by machines or software demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. AI examination is amazingly particular and focus, and is essentially isolated into subfields that a great part of the time hatred to chat with each other. It solidifies Artificial Creative Ability, Artificial Neural structures, Adaptive Systems, Cybernetics, Ontologies and Knowledge sharing.

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 Artificial Intelligence

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 16: Cloud Computing

Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics, and more—over the Internet (“the cloud”).  Cloud computing relies on sharing of resources to achieve coordination and economies of scale, similar to a public utility. Companies offering these computing services are called cloud providers and typically charge for cloud computing services based on usage.

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 Cloud Computing

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 17: Social Network Analysis

Social network analysis (SNA) is the advancement process of looking at social structures through the use of networks and graph theory. It characterizes networked structures in terms of lumps (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them.

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 Social Network Analysis

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 18: Business Analytics

Business analytics refers to the skills, technologies, practices for continuous rerun exploration and investigation of past business performance to gain insight and drive business planning. Business analytics is used by companies enact data-driven decision-making.

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 Business Analytics

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 19: Internet of Things (IOT)

The internet of things, or IoT, is the network of physical devices interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers(UIDs) and the ability to connect, collect and exchange data or transfer data over a network without requiring human-to-human or human-to-computer interaction.

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 Internet of Things (IOT)

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 20: Open Data

Open data is the thought that some data should be freely available to everyone to use and republish as they wish, without restrictions from patents, copyright or other mechanisms of control. Open data can also be linked data; when it is linked open data, is a method of publishing structured data so that it can be interlinked and become more useful through semantic queries.

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 Open Data

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 21: New Visualization Techniques

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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 22: Search and Data Mining

In the course of recent times, there has been an immense increase in the measure of information being put away in databases and the number of database applications in business and the investigative space. This blast in the measure of electronically put away information was accelerated 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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 23: Frequent Pattern Mining

Frequent pattern mining (or) Pattern mining consists of using/developing data mining algorithms to discover interesting, unpredicted and useful patterns in databases. Pattern mining algorithms can be applied to different types of data such as sequence databases, transaction databases, streams, strings, spatial data, and graphs. Pattern mining algorithms can be designed to discover various types of patterns such as subgraphs, associations, sequential rules, lattices, sequential patterns, indirect associations, trends, periodic patterns and high-utility patterns.

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 Frequent Pattern Mining

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 24: Clustering

Cluster analysis or clustering is the task of organizing a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups.

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 Clustering

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 25: Complexity and Algorithms

The uncertainty of a calculation indicates the aggregate time required by the system to rush to finish. The many-sided quality of calculations is most generally communicated using the enormous O documentation. Many-sided quality is most usually assessed by tallying the number 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 use the most pessimistic scenario multifaceted nature of a calculation since that is the extended 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

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 26: Nanoinformatics

Nanoinformatics is the science and practice of determining which information is relevant to the nanoscale science and engineering community, and then developing and implementing effective mechanisms for collecting, storing, validating, modelling, applying, analysing and sharing that information. Nano informatics also involves the utilization of networked communication tools to launch and support efficient communities of practice. Nanoinformatics is necessary for intelligent development and comparative characterization of nanomaterials, for design and use of optimized Nanodevices and Nanosystems, and for development of advanced instrumentation and manufacturing processes.

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 Nanoinformatics

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

Track 27: Renewable Energy Forecasting with Big Data

Hybrid Renewable Energy Forecasting (HyRef), which uses big data analytics to predict the appropriable of renewable energy. With the use of this system, help bring more renewable energy to the power grid by predicting the availability of such energy. It uses data gathered from monitoring devices and analytical technology to generate accurate weather forecast within renewable energy system devices.

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 Renewable Energy Forecasting with Big Data

Analytics and Data Summit 2019, Mar 12-14, USA; International Conference on Data Mining and Machine Learning, Apr 29-30, 2019, Hong Kong; Data Mining, Communications and Information Technology, Jan 24-25, USA; CoDS-COMAD 2019, Jan 03-05, India; Data Mining and Knowledge Discovery (DMKD 2019) April 26-28, 2019, China; SIAM International Conference on Data Mining (SDM19) May 02-04, 2019, Canada; Association for the Advancement of Artificial Intelligence, Jan 27-Feb 01, 2019, USA; Data 2019, 26-28 July, Czech Republic; Big Data and Smart Computing, Feb 27th-Mar 2nd, 2019, Japan; Data Mining, Big Data, Database and Data Management, Jan 30-31, 2019, Australia; 8th Edition of International Conference on Big Data & Data Science Mar 04-05, 2019, Spain; ICBDSE 2019, June 4-5, USA; ICBDC 2019, May 10-12,China; Cloud Computing 2019, Mar 11-12, United Kingdom; AI & IOT 2019, July 16-17, Netherlands; Open Data Science Conference Apr 30–May 03, 2019, USA; Data Summit, May21-22, 2019, USA; Gartner Data & Analytics Summit 2019 Mar 18–21, USA; AI & Big Data Expo Global, APRIL 25-26 2019, UK.

As the world is becoming more digital and connected, big data and business analytics are creating new possibilities for data collection, storage and intelligence process and analysis. With the huge amount of data generation, storage and capture, big data and business analytics have emerged as an important technology to study and solve data related difficulties for companies that have a huge amount of data stored and used within the organization.

The increasing interest and investment in artificial intelligence, in turn, is leading to the origination of new tools for collecting and analysing data and new enterprise roles and responsibilities which includes big data and business analytics solutions.

The Global Big Data market is estimated at $23.56 billion in 2015 and is expecting to reach $118.52 billion by 2022 growing at a CAGR of 26.0% from 2015 to 2022. Hasty growth in consumer data, superior information security, enhanced business efficiencies are some of the key factors fuelling the market growth. The data mining tools market is expected to grow from USD 591.2 Million in 2018 to USD 1,039.1 Million by 2023, at a Compound Annual Growth Rate of 11.9% during the forecast period, owing to the remarkable increase in data volume and increased awareness among enterprises to support the benefits of available data assets.

Worldwide Big Data market revenues for software and services are projected to increase from $42B in 2018 to $103B in 2027, reaching a Compound Annual Growth Rate (CAGR) of 10.48%. As part of this forecast, Wikibon estimates the worldwide Big Data market is growing at an 11.4% CAGR between 2017 and 2027, growing from $35B to $103B.

Why London?

London is the capital of England and the United Kingdom is a 21st-century city with history extended back to Roman times. London is one of the major global cities in the research and development, tourism and transportation, professional services, arts, commerce, education, entertainment, fashion, finance, healthcare, media. It has the fifth or sixth largest metropolitan area GDP and it is the world's largest financial centre. London is often considered as a world cultural capital. It is the world's most-visited city as a study by international arrivals and has the world's largest city airport system measured by passenger traffic. It is the world's leading investment destination, hosting many international retailers and ultra-high-net-worth individuals than any other city. London's universities form the largest attentiveness of higher education institutes in Europe. In 2012, London became the first city to have organized the modern Summer Olympic Games three times.

Big Data Companies

Big Data Companies in Europe:

4i | 7Puentes | Abbott Analytics | AbsolutData | Acheron Analytics | Aiaioo Labs | Algolytics (former StatConsulting) | Alpha Analysis Consulting | Alta Plana | AltexSoft | Altius Analytica | Analytics Advisory Group | Analytics Center | Analytics Iowa LLC | Analyze Partner | Analytical People | Analytics Trainings | Anthem Marketing Solutions | APower Solutions | Apteco | Artelnics | AsiaAnalytics (formerly SPSS China) | BADR | Bayesia | Bentley University Center for Quantitative Analysis | Beyond the Arc, Inc. | BGStats Consulting | BI Solutions | Biclast solutions | Big Data Landscape | BitRefine group | Bitsnbrains | Boire Filler Group | BRIDGEi2i | BVA Data sciences | Business Data Miners | BusinessMinds | Business Science LLC | C2G Partners | CAC group | Capgemini Insights & Data Global Practice | Caserta Concepts | CBIG Consulting | CDO Advisors | Cognitro Analytics | Centre of Excellence CIBIT | Cognizant | CogNova Technologies | Computer Associates | Connolly Consultants LLC | Contexti | Core Services | comSysto GmbH | Creascience | CVM Data Sciences Inc. | Custom Analytics Consulting  | Nautilus Systems | Neural Technologies | Notch | Opera Solutions | Optelligent Solutions | Origin World Labs | Orion Business Innovation | Overbeck Analytics Ltd | Partek | PEPITe | Perceptive Analytics | Percipience Analytics | Philadelphia Data Miner | Predictive Science | PredictionWorks | Predictive Dynamix | Predictive Modeling, LLC | Prediction Impact

Big Data Companies in Asia and Middle East:

Data and Analytic Solutions Inc. (DAS) | Data Cowboys | Data Mind | Data Miners | DataMonsters | Datalya Consulting | Data Mining Experts | Data Mining Technologies | Data Science Partnership | DataInsight | DataLab USA | DataMine Lab | DataMineIt | Datamotus | Datascope Analytics | DCAD | DecisionCraft Analytics | Decision Systems | Definitive Logic | Dextro Analytics | Differentiated Analytics | Directing | Discovery Corps Inc. | Divis intelligent solutions GmbH | DLabs | DM-STAT| DM STAT-1 Consulting | DXC Technology | East Agile | EffectiveSoft Engineering consulting services - Offshore & outsourcing research | Elder Research | Elite Analytics | Eleks | ENQIO | Entopix | Equity Decision Systems | Evolutionary Systems (ES) | Exclusive Ore | Experfy | Features Analytics | Forefront Economics | Foris | Fractal Analytics | FrontAnalytics | Gmid Associates | Gray Matter Analytics | GroupVisual | GSTAT | Haave | Haensel AMS | Hamilton Numbers | Houston Analytics | Hybridstat Predictive Analytics | IDT | InData Labs | Inductis | InEdge | InfoMaker Inc. | Intended Motion | Intelegencia | Intelligent Datalytics | iThinkTank | Isoft | IQR Consulting/EXL Analytics | Jacobson & Associates | John Snow Labs | Kaggle Connect | KCM Solutions | KFit Solutions | Kitquant | Knoyd | KUDWI | LatentView Analytics | Lima Consulting | Lityx | Machinalis | Machine Analytics | Mango Solutions | Massa & Company | Mentis | Modern Analytics | Mu Sigma | Nagnoi, Inc. | National Analysts

Big Data Companies in USA:

Principa | PR Sys Design | ProSensus | PulseMetrics, LLC | Python Predictions | Quantum Data Science | QueBIT | R Systems | Raise Analytics consulting by Ryan Thorpe | Revelwood | Rexer Analytics | Rise Analytics | RiverPoint Group | Romexsoft | RPM2, Rapid Progress Marketing and Modeling, LLC | Rx Data Systems | Salford Systems | SAS Institute | ScienceSoft | Sentient | SerCon | SFL Scientific | Shop Insights | Sigmoid Analytics | Sigmoidal | Silicon Valley Data Science | simMachines | Simon Schnieders | Singular Value Consulting | Smart Empower Innovation Labs | Sna Consulting | Socio logiciels | Softweb solutions | SolutionStat | SmartDrill Data Mining | Spatial Data Analytics Corporation (SPADAC) | Squares on Blue | Spyhce | SRA International | Statistics PhD from Stanford | STAT-BEHR | Statistics Solutions | Statoo Consulting | STATWORKX | StrateGain | Strategic Business Analytics | Strategic Feed | Synergic Partners | Technatomy Corporation | Thesys Group | Think Big Analytics | ThoughtWorks analytics practice | Tiberius | Tiger Analytics | Trendwise Analytics | Tricision | Trinity Insight | Turing Analytics | Two Crows Corporation | Unica | Universus Business Analytics | Urban Science | VADIS | Virtual Gold | Viscovery | VisualAlpha | Visual Analytics | VyAnalytics | WhiteCross | WildFire | XLNT Consulting, Tom Breur, Principal | Xtract | Xyonix | Yazzoom | Yotta Customer Analytics | Zementis | Zenzire

Big Data Jobs

Big Data DevOps Engineer Jobs | Big Data Architect Jobs | Big Data Transformation Developer Jobs | Big Data Software Engineer Jobs | Big Data Developer Jobs | Big Data & DWH Engineer Jobs | Big Data & Analytics Architect Jobs | Big Data Engineer Jobs | Data Engineer Jobs | Senior Consultant Big Data Jobs | Software Developer Intern Big Data/Machine Learning Jobs | Head of Big Data & Artificial Intelligence Jobs | Data Scientist Jobs | Big Data Analyst Jobs | Engineer IoT, Big Data & Data Science SBB Telecom Jobs | MS BI/Big Data Unit Manager Jobs | BA Data Developer Jobs | Senior Data Scientist | DevOps Engineer - Big Data and Cloud Services Jobs | BI (Business Intelligence) Developer Jobs | Chief Data Scientist Jobs | Software Engineering Intern Jobs | Big Data Engineer Jobs | Senior Data Engineer Jobs | iOS SDK Engineer Jobs | Data Center & Cloud Architect Jobs | Senior Splunk Engineer Jobs | IT Business Specialist Jobs | Principal Data Scientist Jobs | Splunk Developer Jobs | Industry Data Solution Architect Jobs | Quantitative Risk Specialist Jobs |  ICT Consultant eBanking Jobs | Enterprise Data Architect Jobs | Advanced Analytics & Machine Learning Senior Consultant Jobs | Data Scientist / Data Visualization Designer Jobs | Solution Architect Data&AI Jobs | Cloud Architect Jobs | Machine Learning Scientist Jobs | Graduate Natural Catastrophe Analyst Jobs

Big Data Journals

Analytics magazine | Big Data | Case Studies in Business, Industry And Government Statistics | Chance | Data Science Journal | EPJ Data Science Journal | IEEE Transactions on Knowledge and Data Engineering | Information Visualization | Intelligent Data Analysis | International Journal of Data Mining and Bioinformatics (IJDMB) | Journal Of Big Data | Journal of Data Mining and Knowledge Discovery | Journal of Data Science | Journal of Intelligent Information Systems | Journal of Machine Learning Research | KAIS: Knowledge and Information Systems: An International Journal | Computer Science and Database Journals | Predictive Modeling News | Statistical Analysis and Data Mining | Transactions on Machine Learning and Data Mining | Wiley Interdisciplinary Reviews: Data Mining and KNowledge Discovery (WIDM) | Artificial Intelligence | Big Data Research | Computational Statistics & Data Analysis by International Association for Statistical Computing (IASC) | Foundations and Trends® in Machine Learning | International Journal of Business Intelligence and Data Mining | International Journal of Data Science and Analytics | Machine Learning | Sigkdd Explorations | Neurocomputing | Communications of the ACM

We gratefully thank all our wonderful Speakers, Conference Attendees, Students, Media Partners, Associations and Sponsors for making Data Mining 2018 Conference the best ever!

The 5th International conference on Big Data Analysis and Data Mining, hosted by the Conferenceseries LTD was held during June 20-21, 2018 at Rome, Italy based on the theme “Future Technologies for Knowledge Discoveries in Data ". Benevolent response and active participation were 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.

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

  • Ergi Sener, Bonbon Tech, Turkey
  • Petra Perne, Institute of Computer Vision and Applied Computer Sciences, Germany
  • Fionn Murtagh, University of Huddersfield, UK
  • Mikhail Moshkov, King Abdullah University of Science and Technology, Saudi Arabia
  • Felix Chan, The Hong Kong Polytechnic University, Hong Kong

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 in Nursing
  • Big Data Applications
  • Data Mining and Machine Learning
  • Data Mining Tools and Software
  • Data Warehousing
  • Artificial Intelligence
  • Cloud computing
  • Forecasting from Big Data
  • Complexity and algorithms
  • Open data
  • Big Data algorithm
  • New visualization techniques
  • Optimization and Big Data
  • Social network analysis
  • Search and data mining
  • Data Mining analysis
  • Frequent pattern mining
  • Clustering
  • Data privacy and ethics
  • Big data technologies
  • Business analytics
  • Internet of Things (IoT)

 Conference Series LTD 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 LTD also took the privilege to felicitate the Keynote Speakers, Organizing Committee Members, Chairs and sponsors who supported this event

With the grand success of Data Mining 2018, Conference Series LTD is proud to announce the "6th International Conference on Big Data Analysis and Data mining" to be held during July 25-26, 2019 at London, UK.

For More details visit: https://datamining.conferenceseries.com/2018

Conference Highlights

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Conference Date 25-26 July 2019
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