Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7543
Title: Nonlinear integrals and their applications in data mining
Authors: Wang, Zhenyuan 
Yang, Rong 
Prof. LEUNG Kwong Sak 
Issue Date: 2010
Publisher: World Scientific Publishing Co.
Source: Nonlinear Integrals and their Applications in Data Mining, 2010, pp. 1 - 340
Journal: Nonlinear Integrals and their Applications in Data Mining 
Abstract: 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. © 2010 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.
Type: Book
URI: http://hdl.handle.net/20.500.11861/7543
ISBN: 978-981281468-5
9812814671
978-981281467-8
DOI: 10.1142/6861
Appears in Collections:Applied Data Science - Publication

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