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

Citation Type: Book, Whole

Publication Year: 2004

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Abstract: Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book presents real life data sets from various domains, such as geographic information systems, remote sensing imagery, and population census, to demonstrate the use of innovative new methodologies. Classical approaches are covered along with granular computation by integrating fuzzy sets, artificial neural networks, and genetic algorithms for efficient knowledge discovery. The authors then compare the granular computing and rough fuzzy approaches with the more classical methods and clearly demonstrate why they are more efficient.

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Authors: Pal, Sankar K.; Mitra, Pabitra

Publisher: Chapman & Hall/CRC

Publisher Location: Toronto, Canada

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Data Collections: IPUMS USA

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