Description: Further DetailsTitle: Outlier AnalysisCondition: NewRelease Date: 12/22/2016EAN: 9783319475776ISBN: 9783319475776Edition: 2nd ed. 2017Publisher: Springer International Publishing AGFormat: HardbackDescription: This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories:Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods.Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data.Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner.The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching. Language: EnglishCountry/Region of Manufacture: CHItem Height: 254mmItem Length: 178mmAuthor: Charu C. AggarwalGenre: Computing & InternetRelease Year: 2016 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Release Date: 12/22/2016
Release Year: 2016
Book Title: Outlier Analysis
Title: Outlier Analysis
EAN: 9783319475776
ISBN: 9783319475776
Edition: 2nd ed. 2017
Country/Region of Manufacture: CH
Item Height: 254mm
Genre: Computing & Internet
Number of Pages: Xxii, 466 Pages
Publication Name: Outlier Analysis
Language: English
Publisher: Springer International Publishing A&G
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Databases / Data Mining
Publication Year: 2016
Item Weight: 371.7 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 10 in
Author: Charu C. Aggarwal
Item Width: 7 in
Format: Hardcover