Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing

Pal, Sankar K. (Author)/ Mitra, Pabitra (Author)

ISBN 10: 1584884576 / ISBN 13: 9781584884576

Published by Chapman & Hall, 2004

About this Item

1st edition. 244 pages. 9.25x6.25x0.75 inches. In Stock. Seller Inventory # x-1584884576

Bibliographic Details

Title: Pattern Recognition Algorithms for Data ...

Publisher: Chapman & Hall

Publication Date: 2004

Binding: Hardcover

Condition: Brand New

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