Big Data Analysis: New Algorithms for a New Society
Editors: Japkowicz, Nathalie, Stefanowski, Jerzy (Eds.)
Free Preview- Recent research on Big Data Analysis
- Presents new algorithms for a new society
- Includes fundamentals, methodological issues as well as algorithms and applications
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- About this book
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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
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“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)
- Table of contents (13 chapters)
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A Machine Learning Perspective on Big Data Analysis
Pages 1-31
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An Insight on Big Data Analytics
Pages 33-48
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Toward Problem Solving Support Based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgement
Pages 49-90
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An Overview of Concept Drift Applications
Pages 91-114
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Analysis of Text-Enriched Heterogeneous Information Networks
Pages 115-139
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Table of contents (13 chapters)
- Download Preface 1 PDF (50.7 KB)
- Download Sample pages 2 PDF (246.9 KB)
- Download Table of contents PDF (55.7 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Big Data Analysis: New Algorithms for a New Society
- Editors
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- Nathalie Japkowicz
- Jerzy Stefanowski
- Series Title
- Studies in Big Data
- Series Volume
- 16
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-26989-4
- DOI
- 10.1007/978-3-319-26989-4
- Hardcover ISBN
- 978-3-319-26987-0
- Softcover ISBN
- 978-3-319-80053-0
- Series ISSN
- 2197-6503
- Edition Number
- 1
- Number of Pages
- XII, 329
- Number of Illustrations
- 28 b/w illustrations, 35 illustrations in colour
- Topics
