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Advances in Big Data Analytics

Theory, Algorithms and Practices
BookHardcover
Ranking37382in
CHF206.00

Description

It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis.
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Details

ISBN/GTIN978-981-16-3606-6
Product TypeBook
BindingHardcover
PublisherSpringer
Publishing date14/01/2022
Edition1st ed. 2022
Pages728 pages
LanguageEnglish
SizeWidth 160 mm, Height 241 mm, Thickness 46 mm
Weight1267 g
Article no.14809189
CatalogsBuchzentrum
Data source no.36787526
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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.

Subjects