Overview
- Presents a comprehensive and cutting-edge study on big data analytics
- Demonstrates various techniques for solving big data problems
- Illustrates essential skills for dealing with real-world big data applications
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Table of contents (12 chapters)
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Front Matter
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Concept and Theoretical Foundation
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Front Matter
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Functional Analysis
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Front Matter
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Application and Future Analysis
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Front Matter
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Back Matter
Keywords
About this book
Since each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.
Authors and Affiliations
About the author
Yong Shi is the Director of the Research Center on Fictitious Economy and Data Science, and Director of the Key Lab of Big Data Mining and Knowledge Management, Chinese Academy of Sciences. He has been an Isaacson Professor, Union Pacific Chair, and Charles W. and Margre H. Durham Distinguished Professor of Information Technology at the College of Information Science and Technology, University of Nebraska at Omaha, USA. He has served on the State Council of the PRC (2016), as an elected member of the International Eurasian Academy of Science (2017), and as an elected fellow of the World Academy of Sciences for the Advancement of Science in Developing Countries (2015). His research interests include big data analysis, data science, business intelligence, data mining and multiple-criteria decision making. He has published more than 20 books, over 500 papers in various journals, and numerous conferences/proceedings papers. He is the Editor-in-Chief of both the International Journal ofInformation Technology and Decision Making (SCI) and of Annals of Data Science (Springer), and serves on the Editorial Boards of numerous academic journals.
Bibliographic Information
Book Title: Advances in Big Data Analytics
Book Subtitle: Theory, Algorithms and Practices
Authors: Yong Shi
DOI: https://doi.org/10.1007/978-981-16-3607-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-3606-6Published: 14 January 2022
Softcover ISBN: 978-981-16-3609-7Published: 15 January 2023
eBook ISBN: 978-981-16-3607-3Published: 13 January 2022
Edition Number: 1
Number of Pages: XIV, 728
Number of Illustrations: 1 b/w illustrations
Topics: Data Structures and Information Theory, Artificial Intelligence, Big Data, Data Mining and Knowledge Discovery, Theory of Computation