Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology: 1 (Massive Computing) - Tapa dura

Last, M.; Maimon, O.

 
9780792366478: Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology: 1 (Massive Computing)
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ISBN 10: 0792366476 ISBN 13: 9780792366478
Editorial: Springer, 2000

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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Reseña del editor

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).

Reseña del editor

This book presents a unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network. The IFN methodology handles a selection of the most relevant features, extraction of informative rules and patterns, and post-processing of the extracted knowledge. This book provides detailed descriptions of the IFN algorithms and discusses real-world case studies from several application domains including manufacturing, process engineering, health care, and education. In addition, the book describes the methodology of applications and compares the IFN performance to other data mining methods.
Audience: This book is intended to be used by researchers in the field of information systems, engineering, computer science, statistics, and management who are searching for a unified theoretical approach to the knowledge discovery process. The book can also serve as a reference book for courses on data mining, machine learning, and databases.

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Editorial
Springer
Año de publicación
2000
Idioma
Inglés
ISBN 10 
0792366476
ISBN 13 
9780792366478
Encuadernación
Tapa dura
Número de páginas
192
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9781441948427: Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology: 1 (Massive Computing)

Edición Destacada

ISBN 10:  1441948422 ISBN 13:  9781441948427
Editorial: Springer, 2010
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