Outlier Analysis Book [PDF] Download

Download the fantastic book titled Outlier Analysis written by Charu C. Aggarwal, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Outlier Analysis", which was released on 10 December 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Outlier Analysis by Charu C. Aggarwal PDF

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.


Detail About Outlier Analysis PDF

  • Author : Charu C. Aggarwal
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 466 pages
  • ISBN : 3319475789
  • PDF File Size : 45,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Outlier Analysis

Outlier Analysis
  • Publisher : Springer
  • File Size : 48,5 Mb
  • Release Date : 10 December 2016
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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

Outliers

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  • Publisher : Penguin UK
  • File Size : 54,8 Mb
  • Release Date : 18 November 2008
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From the bestselling author of Blink and The Tipping Point, Malcolm Gladwell's Outliers: The Story of Success overturns conventional wisdom about genius to show us what makes an ordinary person

Outlier Detection: Techniques and Applications

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  • File Size : 24,6 Mb
  • Release Date : 10 January 2019
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  • Publisher : Springer
  • File Size : 34,6 Mb
  • Release Date : 06 April 2017
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This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with

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  • Publisher : John Wiley & Sons
  • File Size : 36,6 Mb
  • Release Date : 25 February 2005
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Outlier Analysis

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  • Publisher : Springer Science & Business Media
  • File Size : 24,5 Mb
  • Release Date : 11 January 2013
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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

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  • Publisher : Springer Science & Business Media
  • File Size : 53,6 Mb
  • Release Date : 17 April 2013
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The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it

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  • Publisher : Springer Nature
  • File Size : 44,8 Mb
  • Release Date : 01 June 2022
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Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental

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New Developments in Unsupervised Outlier Detection
  • Publisher : Springer Nature
  • File Size : 51,9 Mb
  • Release Date : 24 November 2020
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This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Publisher : Springer
  • File Size : 54,7 Mb
  • Release Date : 09 September 2016
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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and