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

Pal, Sankar K./ Mitra, Pabitra

ISBN 10: 0367394243 / ISBN 13: 9780367394240

Editore: Chapman & Hall, 2019

Riguardo questo articolo

280 pages. 9.21x6.14x0.60 inches. In Stock. This item is printed on demand. Codice articolo __0367394243

Dati bibliografici

Titolo: Pattern Recognition Algorithms for Data ...

Casa editrice: Chapman & Hall

Data di pubblicazione: 2019

Legatura: Paperback

Condizione: Brand New

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

Pal, Sankar K.; Mitra, Pabitra