Overview
- Each chapter contains key research content on the topic, case studies, extensive bibliographic notes and the future direction of research in this field
- Covers applications for credit card fraud, network intrusion detection, law enforcement and more
- Content is simplified so students and practitioners can also benefit from this book
- Includes supplementary material: sn.pub/extras
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About this book
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Keywords
Table of contents (12 chapters)
Reviews
From the book reviews:
“Aggarwal has written a complete survey of the state of the art in anomaly detection. … His book provides a solid frame of reference for those interested in anomaly detection, both researchers and practitioners, no matter whether they are generalists or they are mostly focused on particular applications. All of them can benefit from the broad overview of the field, the nice introductions to many different techniques, and the annotated pointers for further reading that this book provides.” (Fernando Berzal, Computing Reviews, August, 2014)
“This book is an encyclopedia of how to handle outliers. The author introduces various methods to deal with outliers under various conditions, but in a systematic way so that one can easily find what one needs. The writing style is accessible to readers who do not have deep statistical training. … a good reference book for practitioners and researchers who are not experts in outlier analysis, but want to gain a basic understanding of how to do it.” (Hung Hung, Mathematical Reviews, March, 2014)
“This book aims at providing a missing formal view of recent advances in outlier analysis that have been carried out mostly independently in both the computer science and statistics communities. … the book contains a series of carefully created exercises, attempting to make the book useful as a textbook. … All in all, this is an excellent book. … the book seems to be oriented more towards the experienced researcher who will use this book as reference material … .” (Santiago Ontanon, zbMATH, Vol. 1291, 2014)
Authors and Affiliations
Bibliographic Information
Book Title: Outlier Analysis
Authors: Charu C. Aggarwal
DOI: https://doi.org/10.1007/978-1-4614-6396-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6395-5Published: 11 January 2013
eBook ISBN: 978-1-4614-6396-2Published: 11 January 2013
Edition Number: 1
Number of Pages: XV, 446
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Statistics and Computing/Statistics Programs, Systems and Data Security, Database Management, Information Storage and Retrieval