Nonlinear Integrals And Their Applications In Data Mining is popular PDF and ePub book, written by Zhenyuan Wang in 2010-06-09, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Nonlinear Integrals And Their Applications In Data Mining can be Read Online from any device for your convenience.
Nonlinear Integrals And Their Applications In Data Mining Book PDF Summary
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.
Detail Book of Nonlinear Integrals And Their Applications In Data Mining PDF
- Author : Zhenyuan Wang
- Release : 09 June 2010
- Publisher : World Scientific
- ISBN : 9789814470988
- Genre : Mathematics
- Total Page : 359 pages
- Language : English
- PDF File Size : 7,9 Mb
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