Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology

Oded Maimon; Mark Last

ISBN 10: 0792366476 ISBN 13: 9780792366478

Editorial: Springer, 2000

Idioma: Ingl�s

Condici�n: Usado - Bueno Encuadernaci�n de tapa dura

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Descripci�n

2001 Kluwer Academic Publishers (Dordrecht, The Netherlands), 6 1/2 x 9 3/4 inches tall hardcover, no dust jacket (as issued), index, xix, 171 pp. Very slight soiling, rubbing and edgewear to coverswith minor bumping to the lower tips. Otherwise, a very good copy - clean, bright and unmarked. ~SP02~ [1.5P] This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices. Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

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Detalles bibliogr�ficos

T�tulo: Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology
Editor: Springer
Fecha de publicaci�n: 2000
Idioma: Ingl�s
ISBN 10: 0792366476
ISBN 13: 9780792366478
Encuadernaci�n: Hardcover
Estado: Very Good

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Sinopsis

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg�). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

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