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Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology (Paperback, Softcover reprint of hardcover 1st ed. 2001)
Loot Price: R2,799
Discovery Miles 27 990
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Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology (Paperback, Softcover reprint of hardcover 1st ed. 2001)
Series: Massive Computing, 1
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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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