Pattern Recognition Algorithms for Data Mining

Sankar K. Pal, Pabitra Mitra (Autoren)

Buch | Softcover

280 Seiten

2019
Chapman & Hall/CRC (Verlag)
978-0-367-39424-0 (ISBN)

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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.

Pal, Sankar K.; Mitra, Pabitra

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.

Erscheinungsdatum	24.09.2019
Reihe/Serie	Chapman & Hall/CRC Computer Science & Data Analysis
Sprache	englisch
Maße	156 x 234 mm
Gewicht	385 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Algorithmen
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	0-367-39424-3 / 0367394243
ISBN-13	978-0-367-39424-0 / 9780367394240
Zustand	Neuware