Outlier Analysis download free [PDF and Ebook] by Charu C. Aggarwal

Outlier Analysis download free [PDF and Ebook] by Charu C. Aggarwal year 2017
  • Book name: Outlier Analysis
  • Author: Charu C. Aggarwal
  • Release date: 2017/12/29
  • Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9783319475776
  • Rating: 7.57 of 10
  • Votes: 280
  • Review by: Sumiko Leyva
  • Review rating: 9.3 of 10
  • Review Date: 2018/11/14
  • Total pages: 466
  • Includes a PDF summary of 51 pages
  • Description or summary of the book: 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.
  • Estimated reading time (average reader): 22H54M41S
  • Other categories, genre or collection: Mathematical & Statistical Software, Data Mining, Artificial Intelligence, Expert Systems / Knowledge-based Systems, Pattern Recognition
  • Available formats: EPUB, AZW, WORD, PDF, TXT, CSV, RB, DOC. Compressed in Z, TAR.Z, LZMA, CPIO, RAR, ZIP
  • Download servers: Dropbox, Torrentz2, Mediafire, Microsoft OneDrive, Hotfile, RoarFiles
  • Format: Hardback
  • Approximate value: 73.50 USD
  • Dimensions: 178x254x26.92mm
  • Weight: 1,056.87g
  • Printed by: Not Available
  • Published in: Cham, Switzerland
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