Kwong Sak Leung's Books

Nonlinear Integrals And Their Applications In Data Mining

By: Zhenyuan Wang,Rong Yang,Kwong-sak Leung

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Nonlinear Integrals And Their Applications In Data Mining

By: Zhenyuan Wang,Rong Yang,Kwong-sak Leung

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.

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Page Count

359

Publisher

World Scientific

Published Date

ISBN 10

9814470988

ISBN 13

9789814470988

Data Mining Using Grammar Based Genetic Programming and Applications

By: Man Leung Wong,Kwong Sak Leung

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Data Mining Using Grammar Based Genetic Programming and Applications

By: Man Leung Wong,Kwong Sak Leung

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context- sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced. A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. We have also illustrated how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically. By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly. Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases.

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Page Count

222

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0306470128

ISBN 13

9780306470127

Data Mining Using Grammar Based Genetic Programming and Applications

By: Man Leung Wong,Kwong Sak Leung

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Data Mining Using Grammar Based Genetic Programming and Applications

By: Man Leung Wong,Kwong Sak Leung

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Solve jigsaw puzzle

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Page Count

222

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0306470128

ISBN 13

9780306470127

Nonlinear Integrals and Their Applications in Data Mining

By: Zhenyuan Wang,Rong Yang,Kwong Sak Leung

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Nonlinear Integrals and Their Applications in Data Mining

By: Zhenyuan Wang,Rong Yang,Kwong Sak Leung

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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

359

Publisher

World Scientific

Published Date

ISBN 10

9812814671

ISBN 13

9789812814678

Book's by Kwong Sak Leung

Nonlinear Integrals And Their Applications In Data Mining

Nonlinear Integrals And Their Applications In Data Mining

Data Mining Using Grammar Based Genetic Programming and Applications

Data Mining Using Grammar Based Genetic Programming and Applications

Data Mining Using Grammar Based Genetic Programming and Applications

Data Mining Using Grammar Based Genetic Programming and Applications

Nonlinear Integrals and Their Applications in Data Mining

Nonlinear Integrals and Their Applications in Data Mining

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