Outlier Analysis PDF
By:Charu C. Aggarwal
Published on 2013-01-11 by Springer Science & Business Media
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing large amounts of data, and with far fewer assumptions– the data can be of any type, structured or unstructured, and may be extremely large. Outlier Analysis is a comprehensive exposition, as understood by data mining experts, statisticians and computer scientists. The book has been organized carefully, and emphasis was placed on simplifying the content, so that students and practitioners can also benefit. Chapters will typically cover one of three areas: methods and techniques commonly used in outlier analysis, such as linear methods, proximity-based methods, subspace methods, and supervised methods; data domains, such as, text, categorical, mixed-attribute, time-series, streaming, discrete sequence, spatial and network data; and key applications of these methods as applied to diverse domains such as credit card fraud detection, intrusion detection, medical diagnosis, earth science, web log analytics, and social network analysis are covered.
This Book was ranked at 4 by Google Books for keyword Computers Technology Software novel.
Book ID of Outlier Analysis's Books is QQtGAAAAQBAJ, Book which was written byCharu C. Aggarwalhave ETAG "8MDLPFKZMSM"
Book which was published by Springer Science & Business Media since 2013-01-11 have ISBNs, ISBN 13 Code is 9781461463962 and ISBN 10 Code is 1461463963
Reading Mode in Text Status is false and Reading Mode in Image Status is true
Book which have "446 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
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