Nonlinear Integrals And Their Applications In Data Mining (Hardcover)

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable.

The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Series:	Advances In Fuzzy Systems-applications And Theory, 24
Release date:	June 2010
First published:	September 2010
Authors:	Zhenyuan Wang • Rong Yang • Kwong Sak Leung
Dimensions:	232 x 159 x 26mm (L x W x T)
Format:	Hardcover
Pages:	360
ISBN-13:	978-981-281-467-8
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	981-281-467-1
Barcode:	9789812814678

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