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    Mathematical Programming for Data Mining: Formulations and Challenges

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    Mathematical Programming for Data Mining: Formulations and Challenges (364.4Kb)
    Date
    1998-07
    Author
    Mangasarian, Olvi
    Fayyad, Usama
    Bradley, P.S.
    Metadata
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    Abstract
    This paper is intended to serve as an overview of a rapidly emerging research and applications area. In addition to providing a general overview, motivating the importance of data mining problems within the area of knowledge discovery in databases, our aim is to list some of the pressing research challenges, and outline opportunities for contributions by the optimization research communities. Towards these goals, we include formulations of the basic categories of data mining methods as optimization problems. We also provide examples of successful mathematical programming approaches to some data mining problems.
    Subject
    optimization
    prediction
    clustering
    classification
    challenges for massive data sets
    mathematical programming methods
    data mining
    data analysis
    Permanent Link
    http://digital.library.wisc.edu/1793/64378
    Type
    Technical Report
    Citation
    98-01
    Part of
    • Math Prog Technical Reports

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