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Previous Speakers

Petra Perner

Petra Perner

Institute of Computer Vision and applied Computer Sciences Germany

Pierre Hansen

Pierre Hansen

Professor GERAD AND HEC Montréal Canada

Morgan C Wang

Morgan C Wang

Professor University of Central Florida USA

Ching Y Suen

Ching Y Suen

Professor Concordia University, Canada Canada

John E Kolassa

John E Kolassa

Professor The State University of New Jersey USA

Bing Li

Bing Li

Professor, Pennsylvania State University USA

Gurdip Singh

Gurdip Singh

Associate Dean and Professor Syracuse University USA

Ergi Sener

Ergi Sener

Executive Board Member & CDO IdeaField BV Netherlands

Data Analystics 2019

Data Analytics 2019

Conference series LLC cordially invites all participants across the globe to attend the 8th International Conference on Big Data Analytics and Data Mining (Data Analytics 2019) which is going to be held during September 18-19, 2019 in San Francisco, USA to share the "Modern Technologies and Challenges in Big Data and Data Mining and technology". The main theme of the conference is "Modern Technologies and Challenges in Big 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 Analytics 2019.

Data Analytics 2019, 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 Analytics 2019 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 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.

Details of Data Analytics 2019 in USA

Conference Name Place Date
Data Analytics 2019 San Francisco, California, USA September 18-19, 2019

Target audience for the conference:

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

Sessions/Tracks

Sessions/Tracks

Conference series LLC cordially invites all the participants from all over the world to attend International Conference on Big Data Analytics & Data Mining during September 26-27, 2018 in Chicago, USA. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.

Track1: Data Analytics

Big data is data sets that is so capacious and composite that outdated data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. There are three dimensions to big data known as Volume, Variety and Velocity

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

Related Big Data Conferences of Data Analytics:

3nd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019) 24th - 26th May 2019  Beijing, China; 21st International Conference on Data Mining and Knowledge Management April 24 - 25, 2019, Boston, USA; 2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia;

Track2: 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:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Related Big Data Conferences of Big data technologies:

2nd International Conference on Data Mining and Knowledge Discovery April 26-28, 2019 Shanghai, China; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands;

Track3: Complexity in data structure and 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 exhaustive models for increasing such calculations, and some provable confinements of calculations working in those models.

Related Societies:

IEEE Computer Society, United States

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

Related Big Data Conferences of Complexity in data structure and algorithm:

O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States; International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands;

Track4: Big 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:

IEEE Computational Intelligence Society, United States

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

Big Data in Asian Society, Singapore

Related Big Data Conferences of Big Data Applications:

International Conference on Management of Data 30 Jun 2019 - 05 Jul 2019 Amsterdam, Netherlands; 42nd International ACM SIGIR conference on research and development in Information Retrieval 21-25 Jul 2019 Paris, France; ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany;

Track5: Internet of things

The Internet of things (IOT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to connect and exchange data. Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure. "Things", in the IoT sense, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, cameras streaming live feeds of wild animals in coastal waters, automobiles with built-in sensors, DNA analysis devices for environmental/food/pathogen monitoring or field operation devices that assist fire fighters in search and rescue operations

Related Societies:

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 Internet of things:

European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic;, The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track6: Optimization 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:

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

National Centre for Data Mining, Chicago

Related Big Data Conferences of Optimization and Big Data:

The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA; AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; CDM 2019: 20th Industrial Conference on Data Mining July 10-14, 2019, New York, NY, USA; MLDM 2019:

Track7: Data Mining Applications in Science, Engineering, Healthcare and Medicine

Information Mining Applications in Engineering and Medicine attentions to offer data excavators who wish to apply stand-out data some help with mining environments. 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:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

International Institute for Business Analysis, Ontario

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

AI & Big Data Expo Global 25-26 Apr, 2018 London, UK; CDM 2019: 20th Industrial Conference on Data Mining July 10-14, 2019, New York, NY, USA; MLDM 2019: 15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA;

Track8: 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:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Related Big Data Conferences of Big Data in Nursing Research:

The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Track9: Cloud computing & E-commerce

Distributed computing is a sort of Internet-based imagining that gives shared handling resources 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:

American Statistical Association, United States

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

Related Big Data Conferences of Cloud computing & E-commerce:

; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track10: Data Mining and Machine Learning

Machine learning is a field of computer knowledge that gives processors the ability to learn without existence explicitly programmed. Machine learning is closely associated to computational statistics, which also attentions on prediction-making through the use of computers. Within the field of data analytics, machine learning is a technique used to devise difficult models and processes that lend themselves to expectation in profitable use, this is known as predictive analytics.

Related Societies:

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:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track11: Artificial Intelligence

Artificial Intelligence is a system of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

Related Big Data Conferences of Artificial Intelligence:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track12: 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, Boundary to Database Systems and Software Systems.

Related Societies:

IAENG Society of Data Mining, Hong Kong

IEEE Computer Society, United States

International Educational Data Mining Society, United States

Related Big Data Conferences of Data Mining Tools and Software:

; SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track13: Social Media analytics

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:

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

Big Data in Asian Society, Singapore

Related Big Data Conferences of Social Media analytics:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track14: Data 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:

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

American Statistical Association, United States

Related Big Data Conferences of Data Mining Tasks and Processes:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track15: 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

Related Big Data Conferences of Data Mining Methods and Algorithms:

SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track16: Data 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:

International Institute for Business Analysis, Ontario

European Knowledge Discovery Network of Excellence, Germany

National Centre for Data Mining, Chicago

Related Big Data Conferences of Data mining analysis:

SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track17: Data Mining Cluster Analysis

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 unlabelled information. A free meaning of bunching could be the way toward sorting out items into gatherings whose individuals are comparable somehow.

Related Societies:

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

IAENG Society of Data Mining, Hong Kong

Related Big Data Conferences of Data Mining Cluster Analysis:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track18: Data Mining for Cyber Security

Cybersecurity which is also known as computer security is the technology designed to protect computer systems containing programs or data from damage or unauthorized access.  This includes preventive measures for cyber terrorism with the help of cyber security with high performance computing

Related Societies:

IEEE Computer Society, United States

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

Related Big Data Conferences of Data Mining for Cyber Security:

SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track19: 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:

Big Data Europe Empowering Communities with Data Technologies, Europe

Big Data and Society, United Kingdom

Advanced Analytics Institute, Australia

Related Big Data Conferences of Business Analytics:

15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA; The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

Track20: 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:

Data Mining Section of INFORMS, United States

International Institute for Analytics, Oregon

The International Machine Learning Society, Germany

Related Big Data Conferences of Data privacy and ethics:

ACM SIGKDD International Conference on Knowledge discovery and data mining 03-07 Aug 2019 Anchorage, Alaska, United States; European Conference on Machine learning and knowledge discovery in databases 16-20 Sep 2019 Würzburg, Germany; 8th International conference on Data Science, Technology and Application July 26-28, 2019 Prague, Czech Republic; The ACM India Joint Int. Conf. on Data Science & Management of Data, CoDS-COMAD 2019 3-5 Jan 2019, Kolkata, India; Marketing Analytics & Data Science. Apr 8-10, 2019 San Francisco, CA, USA;

Track21: Statistical Methods

It includes strategies which are utilized as a part of biostatistics and computing. It incorporates points such as vigorous techniques in biostatistics, longitudinal studies, analysis with deficient data, meta-analysis, Monte-Carlo strategies, quantitative issues in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical routines in epidemiology.

Related Societies:

National Centre for Data Mining, Chicago

Web Analytics Association, Florida

SIAM society for industrial and applied mathematics, United States

Related Big Data Conferences of Search and data mining:

SIAM International Conference on Data Mining (SDM19) SIAM International Conference on Data Mining (SDM19) May 2-4, 2019 Calgary, Alberta, Canada; The Twelfth ACM International Conference on Web Search and Data Mining 11-15 Feb 2019 Melbourne, VIC, Australia; O’Reilly technology conference — Strata Data Conference 26-28 Mar 2019 San Francisco, California, United States; European Conference on Information Retrieval 14-18 Apr 2019 Cologne, Germany; SIAM International Conference on Data Mining 02-04 May 2019 Calgary, Alberta, United States;

Track22: Biostatistics applications

It is the study of science that deals with the statistical methods for describing and comparing the phenomenon of particular subject which helps in managing medical uncertainties. Its applications are wide spread in medicine, health, biology etc. for interpretation of data based on observations and facts.

Related Societies:

IEEE Computational Intelligence Society, United States

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

Big Data in Asian Society, Singapore

Related Big Data Conferences of Frequent pattern mining:

15th International Conference on Machine Learning and Data Mining July 13-18, 2018 New York, NY, USA; IEEE BIGDATASERVICE 2019 April 4 - 9, 2019 San Francisco East Bay, California, USA; The 6th IEEE International Conference on Big Data and Smart Computing February 27th - March 2nd, 2019 Kyoto, JAPAN; ANALYTICS AND DATA SUMMIT 2019 March 12-14, 2019 Redwood Shores, CA, USA; 6th International Conference on Big Data Analysis and Data Mining; 25-26 July 2019 London, United Kingdom;

 

Market Analysis

Market Analysis

Interactive Data Corporation says that worldwide incomes for big data and business analytics will raise from $130.1 billion in 2016 to more than $203 billion in 2020, at a compound annual growth rate (CAGR) of 11.7%. In addition to being the production with the major investment in big data and business analytics results (nearly $17 billion in 2016), banking will see the fastest spending growth.

By the end of 2017, revenue growths from information-based products will double the rest of the product/service portfolio for one third of Fortune 500 companies, says IDC. Raw data and various value-added content will be bought and sold either via marketplaces or in bilateral transactions and enterprises will begin to develop methods for valuing their data (see Chief Data Officer below). “Data monetization” will become a major source of revenues, as the world will create 180 zettabytes of data (or 180 trillion gigabytes) in 2025, up from less than 10 zettabytes in 2015, according to IDC.

The global big data market size was valued at USD 25.67 billion in 2015 and is expected to witness a significant growth over the forecast period. The elevating number of virtual online offices coupled with increasing popularity of social media producing enormous amount of data is a major factor driving growth.

The largest big data segment is currently professional services, which represents around two fifths of the total market and generates around 10 billion U.S. dollars annually. Some analysts suggest this may not last, however, with service revenues giving way to big data software revenues over the coming decade. Across all segments, IBM is the current market leader, with revenues of about 1.5 billion U.S. dollars from big data. Hewlett Packard Enterprise and SAP round out the top three, with big data revenues for each company reaching close to a billion U.S. dollars.

 

Why to Attend??

Data Analytics 2019 invites attendees from around the world focused on learning about Big Data Analytics and 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 Big Data and Data Mining fields are hallmarks of this conference.

Why San Francisco??

San Francisco is the 13th most populous city in the United States, and the 4th most populous in California, with 884,363 residents as of 2017. It covers an area of about 46.89 square miles (121.4 km2), mostly at the north end of the San Francisco Peninsula in the San Francisco Bay Area, making it the second most densely populated large US city, and the fifth most densely populated U.S country, behind only four of the five New York City boroughs. San Francisco is also part of the fifth most populous primary statistical area in the United States

The San Francisco was the country's 3rd largest urban economy as of 2017, with a GDP of $878 billion. San Francisco CSA had the highest GDP per capita in 2017, at $99,347 per capita. San Francisco is ranked 8th in the world and 2nd in the United States on the Global Financial Centres Index as of 2018. As of 2017, San Francisco is the highest rated American city on world liveability rankings.

Tourism is one of the city's largest private-sector industries, accounting for more than one out of seven jobs in the city. The city's frequent portrayal in music, film, and popular culture has made the city and its landmarks recognizable worldwide. In 2016, it attracted the fifth-highest number of foreign tourists of any city in the United States. and is one of the top-20 destination cities worldwide by international visitor spending. More than 25 million visitors arrived in San Francisco in 2016, adding US$9.96 billion to the economy. With a large hotel infrastructure and a world-class convention facility in the Moscone Center, San Francisco is a popular destination for annual conventions and conferences.

 

 

Past Conference Report

Data Analytics 2018

Data Analytics 2018

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

The 7th International conference on Big Data Analytics and Data Mining, hosted by the Conferenceseries LLC LTD  was held during September 26-27, 2018 at Chicago, USA based on the theme Modern Technologies and Challenges in Big 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 and Data Mining, who made this event a grand success.

Conferenceseries LLC LTD expresses its gratitude to the conference Moderator, namely Ergi Sener, Petra Perner 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:

  • Petra Perner, Institute of Computer Vision and applied Computer Sciences, Germany
  • Pierre Hansen, GERAD and HEC Montreal, Canada
  • Nicolas Wesner, Mazars Actuariat, France
  • Ergi Sener, IdeaField BV, Holland
  • Morgan C Wang, University of Central Florida, USA
  • Deming Chen, University of Illinois at Urbana-Champaign, USA
  • Shikharesh Majumdar, Carleton University, Canada
  • Gurdip Singh, Syracuse University, USA
  • Ching Y Suen, Concordia University, Canada
  • Xiaofeng Shao, University of Illinois at Urbana-Champaign, USA

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

  • Big Data Analytics
  • Cloud computing
  • Structural Bioinformatics
  • Data Analytics
  • Big Data technologies
  • Complexity in data structure and algorithm
  • Big Data Applications
  • Internet of things
  • Optimization and Big Data
  • Data Mining Applications in Science, Engineering, Healthcare and Medicine
  • Big Data in Nursing Research
  • Cloud computing & E-commerce
  • Data Mining and Machine Learning
  • Artificial Intelligence
  • Data Mining Tools and Software
  • Social Media analytics
  • Data Mining Tasks and Processes
  • Data Mining Methods and Algorithms
  • Data Mining analysis
  • Clinical Biostatistics
  • Statistical Methods
  • Bayesian statistics
  • Biostatistics applications
  • Regression Analysis
  • Modern data analysis

 

 Conference Series LLC LTD offers its heartfelt appreciation to organizations such as Andrew John Publishing Inc., New York private Equity Forum, AIM and Source Secure 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 LTD also took privilege to felicitate the Keynote Speakers, Organizing Committee Members, Chairs and sponsors who supported this event

With the grand success of Data Analytics 2018Conference Series LLC LTD is proud to announce the "8th International Conference on Big Data Analytics and Data Mining" to be held during September 16-17, 2019 at San Francisco, USA.

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


Past Reports  Gallery  

To Collaborate Scientific Professionals around the World

Conference Date September 18-19, 2019

For Sponsors & Exhibitors

sponsors@conferenceseries.com

Speaker Opportunity

Supported By

Journal of Computer Science & Systems Biology

Journal of Computer Engineering & Information Technology

Journal of Data Mining in Genomics & Proteomics

All accepted abstracts will be published in respective Conference Series LLC LTD International Journals.

Abstracts will be provided with Digital Object Identifier by