Overview
- Recent research on Big Data Analysis
- Presents new algorithms for a new society
- Includes fundamentals, methodological issues as well as algorithms and applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 16)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.
It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Reviews
“This book can be used as a reference book on big data analysis with a tilt toward machine learning techniques. Individual chapters could be useful to interested parties in the respective areas of research. Big data analytics is a relatively new problem in the domain of civilian activities, although it has a longer history in military applications. This edited volume certainly fills a niche in this growing and broad research area.” (M. M. Tanik, Computing Reviews, computingreviews.com, June, 2016)
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Analysis: New Algorithms for a New Society
Editors: Nathalie Japkowicz, Jerzy Stefanowski
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-26989-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-26987-0Published: 28 December 2015
Softcover ISBN: 978-3-319-80053-0Published: 27 March 2019
eBook ISBN: 978-3-319-26989-4Published: 16 December 2015
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XII, 329
Number of Illustrations: 28 b/w illustrations, 35 illustrations in colour