Sankar K. Pal, Pabitra Mitra

Pattern Recognition Algorithms for Data Mining (eBook, PDF)

• Format: PDF

Produktbeschreibung

This valuable text 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. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 280
• Erscheinungstermin: 27. Mai 2004
• Englisch
• ISBN-13: 9780203998076
• Artikelnr.: 38175591

Autorenporträt

Pal, Sankar K.; Mitra, Pabitra

Inhaltsangabe

Introduction. Multiscale data condensation. Unsupervised feature selection. Active learning using support vector machine. Rough
fuzzy case generation. Rough
fuzzy clustering. Rough self
organizing map. Classification, rule generation and evaluation using modular rough
fuzzy MLP. Appendices.