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Big Data Analysis: New Algorithms for a New Society (Studies in Big Data)

Big Data Analysis: New Algorithms for a New Society (Studies in Big Data) - Free Ebook Download

Book Detail

Author/Editor(s): Nathalie Japkowicz, Jerzy Stefanowski
Publication Date: December 16, 2015
ISBN-10: 3319269879
ISBN-13: 978-3319269870
Language: English
Edition: 1
Publisher: Springer
Size: 5.75 MB
Format: pdf

Book Description

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.

About the Author

Nathalie Japkowicz is an Associate Professor at the School of Information Technology and Engineering of the University of Ottawa. She is a former assistant professor at Dalhousie University and lecturer at Ohio State University. Japkowicz co-organized numerous workshops on classifier evaluation and the class imbalance problem at AAAI and ICML. She has published many articles in peer-reviewed journals and conference proceedings.
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