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    Data Mining and Knowledge Discovery Via Logic-Based Methods: Theory, Algorithms, and Applications

    ISBN-10: 1461426138
    ISBN-13: 9781461426134
    Edition: 2010
    Author(s): Evangelos Triantaphyllou
    Description: There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on  More...
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    Copyright Year: 2010
    Publisher: Springer-Verlag New York Inc.
    Publication Date: 9/5/2012
    Binding: Paperback
    Pages: 350
    Size: 9.06" wide x 61.02" long x 92.52" tall
    Weight: 1291.4
    Language: English

    There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily interpretable patterns from databases. The book discusses the theoretical foundations of the methods described, and it also presents a wide collection of examples, many of which come from real-life applications. Almost all theoretical developments are accompanied by extensive empirical analysis which often involved the solution of a very large number of simulated test problems.

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