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Nonlinear integrals and their applications in data mining [[electronic resource] /] / Zhenyuan Wang, Rong Yang, Kwong-Sak Leung



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Autore: Wang Zhenyuan Visualizza persona
Titolo: Nonlinear integrals and their applications in data mining [[electronic resource] /] / Zhenyuan Wang, Rong Yang, Kwong-Sak Leung Visualizza cluster
Pubblicazione: Singapore ; ; Hackensack, N.J., : World Scientific, c2010
Descrizione fisica: 1 online resource (360 p.)
Disciplina: 511.313
Soggetto topico: Fuzzy sets
Integrals
Fuzzy logic
Data mining
Soggetto genere / forma: Electronic books.
Altri autori: YangRong  
LeungKwong Sak <1955->  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Preface; Contents; List of Tables; List of Figures; Chapter 1: Introduction; Chapter 2: Basic Knowledge on Classical Sets; Chapter 3: Fuzzy Sets; Chapter 4: Set Functions; Chapter 5: Integrations; Chapter 6: Information Fusion; Chapter 7: Optimization and Soft Computing; Chapter 8: Identification of Set Functions; Chapter 9: Multiregression Based on Nonlinear Integrals; Chapter 10: Classifications Based on Nonlinear Integrals; Chapter 11: Data Mining with Fuzzy Data; Bibliography; Index
Sommario/riassunto: 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
Titolo autorizzato: Nonlinear integrals and their applications in data mining  Visualizza cluster
ISBN: 1-283-14352-6
9786613143525
981-281-468-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910456219503321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Advances in fuzzy systems ; ; v. 24.