Nonlinear Integrals And Their Applications In Data Mining
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A01=Kwong-sak Leung
A01=Rong Yang
A01=Zhenyuan Wang
Author_Kwong-sak Leung
Author_Rong Yang
Author_Zhenyuan Wang
Category=UNC
Data Mining
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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Fuzzy Sets
Information Fusion
Nonadditive Set Functions
Nonlinear Integrals
Optimization
Soft Computing
Product details
- ISBN 9789812814678
- Publication Date: 10 Jun 2010
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
