Pattern Recognition Algorithms for Data Mining

Name: Pattern Recognition Algorithms for Data Mining
SKU: 2809497
Price: 394.00 NZD
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Hardback

Series:

Chapman & Hall/CRC Computer Science & Data Analysis

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Description

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks.Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Author Biography:

Pal, Sankar K.; Mitra, Pabitra

Release date NZ

May 27th, 2004

Author

Audiences

General (US: Trade)
Tertiary Education (US: College)

Illustrations

35 Tables, black and white; 54 Illustrations, black and white

Pages

274

Series

Chapman & Hall/CRC Computer Science & Data Analysis

Dimensions

156x235x17

ISBN-13

9781584884576

Product ID

2809497

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