£43.67

Springer Outlier Analysis

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Last 493 days • 493 data points (No recent data available)

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£47.62 £31.81 £35.26 £38.71 £42.16 £45.61 £49.06 01 November 2024 04 March 2025 05 July 2025 05 November 2025 08 March 2026

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4 days 238 days · current 166 days · current 85 days 0 60 119 179 238 £33 £43 £44 £47 Days at Price

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Most common price: £43 (238 days, 48.3%)

Price range: £33 - £47

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Description

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.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
04 May 2018
Listed Since
07 June 2018

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No barcode data available

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