Data Mining and Knowledge Discovery via Logic-Based Methods Theory, Algorithms, and Applications /

The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Triantaphyllou, Evangelos (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Springer Optimization and Its Applications, 43
Temas:
Data mining.
Computer science.
Mathematical logic.
Operations research.
Management science.
Machine theory.
Data Mining and Knowledge Discovery.
Computer Science Logic and Foundations of Programming.
Mathematical Logic and Foundations.
Operations Research, Management Science .
Formal Languages and Automata Theory.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Descripción
Sumario:The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge. This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis. Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research.
Descripción Física:XXXIV, 350 p. 91 illus., 9 illus. in color. online resource.
ISBN:9781441916303
ISSN:1931-6836 ;

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