📖 Pattern Recognition Algorithms for Data Mining
Thursday, November 8, 2018 by dev
Pattern Recognition Algorithms for Data Mining
By:Sankar K. Pal,Pabitra Mitra
Published on 2004-05-27 by CRC Press
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.
This Book was ranked at 6 by Google Books for keyword mining.
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Book which was published by CRC Press since 2004-05-27 have ISBNs, ISBN 13 Code is 9781135436407 and ISBN 10 Code is 1135436401
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