
Nonlinear Integrals And Their Applications In Data Mining
World Scientific Publishing Co Pte Ltd
Published on 10. June 2010
Book
Hardback
360 pages
978-981-281-467-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 24 mm
Weight
672 gr
ISBN-13
978-981-281-467-8 (9789812814678)
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Schweitzer Classification
Persons
Author
Univ Of Nebraska At Omaha, Usa
Shenzhen Univ, China
Chinese Univ Of Hong Kong, Hong Kong
Content
Basic Knowledge on Classical Sets; Fuzzy Sets; Set Functions; Integrations; Information Fusion; Optimization and Soft Computing; Identification of Set Functions; Multiregressions Based on Nonlinear Integrals; Classifications Based on Nonlinear Integrals; Data Mining with Fuzzy Data.