An ex-library copy in original laminated pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued.

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Bibliographic Details

Title: Pattern Recognition Algorithms for Data Mining
Publisher: Chapman & Hall/CRC, Boca Raton
Publication Date: 2004
Language: English
ISBN 10: 1584884576
ISBN 13: 9781584884576
Binding: Hardcover
Edition: First Edition.
Condition: Good
Dust Jacket Condition: No Dust Jacket
Book Type: Book

About this title

Synopsis

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.

About the Author

Pal, Sankar K.; Mitra, Pabitra

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