Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft Granular Computing: 3 (Chapman & Hall/CRC Computer Science & Data Analysis) - Tapa dura

Libro 1 de 23: Chapman & Hall/CRC Computer Science & Data Analysis

Mitra, Pabitra; Pal, Pal K.; Pal, Sankar K.

 
9781584884576: Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft Granular Computing: 3 (Chapman & Hall/CRC Computer Science & Data Analysis)
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ISBN 10: 1584884576 ISBN 13: 9781584884576
Editorial: Chapman and Hall/CRC, 2004

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Pal, Sankar K.; Mitra, Pabitra

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2004
Idioma
Inglés
ISBN 10 
1584884576
ISBN 13 
9781584884576
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
276
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Alemania

Otras ediciones populares con el mismo título

9780367394240: Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery and Soft Granular Computing: 3 (Chapman & Hall/CRC Computer Science & Data Analysis)

Edición Destacada

ISBN 10:  0367394243 ISBN 13:  9780367394240
Editorial: Chapman and Hall/CRC, 2019
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