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Proceedings of 8th Edition of International Conference on Big Data & Data Science 2019

Author: Euroscicon

Publisher: EuroScicon

Published: 2019-02-24

Total Pages: 43

ISBN-13:

March 04-05, 2019, Barcelona, Spain Key Topics: Big Data Analytics ,Big Data Algorithms ,Big Data In Bioinformatics ,Data Mining With Big Data ,Visualization In Big Data ,Big Data In Neural Network For Deep Learning ,High Performance Computing For Big Data ,Machine Learning In Data Science ,Open Science In Big Data ,Hadoop Map-Reduce For Analyzing Information ,Regression In Data Science ,Big Data Applications

Big Data – BigData 2019

Author: Keke Chen

Publisher: Springer

Published: 2019-06-19

Total Pages: 147

ISBN-13: 3030235513

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This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA in June 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society.

Proceedings of International Conference on Big Data, Machine Learning and Applications

Author: Ripon Patgiri

Publisher: Springer Nature

Published: 2021-03-22

Total Pages: 268

ISBN-13: 9813347880

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This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.

DATA 2019

Author: Slimane Hammoudi

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9789897583773

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Proceedings of International Conference on Big Data, Machine Learning and their Applications

Author: Shailesh Tiwari

Publisher: Springer Nature

Published: 2020-12-22

Total Pages: 407

ISBN-13: 9811583773

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This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29–31 May 2020. The book provides significant contributions in a structured way so that prospective readers can understand how these techniques are used in finding solutions to complex engineering problems. The book covers the areas of big data, machine learning, bio-inspired algorithms, artificial intelligence and their applications.

Data Management Technologies and Applications

Author: Slimane Hammoudi

Publisher: Springer Nature

Published: 2020-07-29

Total Pages: 168

ISBN-13: 3030545954

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This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.

ICDSMLA 2019

Author: Amit Kumar

Publisher: Springer Nature

Published: 2020-05-19

Total Pages: 2010

ISBN-13: 9811514208

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This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Intelligence in Big Data Technologies—Beyond the Hype

Author: J. Dinesh Peter

Publisher: Springer Nature

Published: 2020-07-25

Total Pages: 625

ISBN-13: 9811552851

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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

Big Data Innovations and Applications

Author: Muhammad Younas

Publisher: Springer

Published: 2019-08-19

Total Pages: 223

ISBN-13: 3030273555

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This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

Big Data Analytics and Knowledge Discovery

Author: Carlos Ordonez

Publisher: Springer

Published: 2019-08-19

Total Pages: 323

ISBN-13: 3030275205

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This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.