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Knowledge Discovery and Data Mining : The Info-Fuzzy Network (IFN) Methodology
by Maimon, O., and Last, M.

Overview -
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 (... 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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Knowledge Discovery and Data Mining: the Info-Fuzzy Network (Ifn) MethodologyKnowledge Discovery and Data Mining: the Info-Fuzzy Network (Ifn) Methodology (PF)
Pub. Date: 2010-12
Publisher: Springer
Price: $182.60
Seller: AwesomeBooksUK, PO BOX 318, OXON, GBR
Condition: New
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Knowledge Discovery and Data MiningKnowledge Discovery and Data Mining (Softcover)
Pub. Date: 12/7/2010 12: 00: 00 AM
Publisher: Springer
Price: $194.99
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More About Knowledge Discovery and Data Mining by Maimon, O., and Last, M.
 
 
 
Overview

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 (... 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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Details
  • PID: 10532270746
  • ISBN-13: 9781441948427
  • Publisher: Springer-Verlag New York Inc.
  • Seller: Alibris
    Condition: New.
    Notes: 168 p. Massive Computing. , 1. XVII, 168 p.