Show simple item record

dc.contributor.authorMangasarian, Olvi
dc.contributor.authorFayyad, Usama
dc.contributor.authorBradley, P.S.
dc.date.accessioned2013-01-17T20:09:15Z
dc.date.available2013-01-17T20:09:15Z
dc.date.issued1998-07
dc.identifier.citation98-01en
dc.identifier.urihttp://digital.library.wisc.edu/1793/64378
dc.description.abstractThis 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.en
dc.subjectoptimizationen
dc.subjectpredictionen
dc.subjectclusteringen
dc.subjectclassificationen
dc.subjectchallenges for massive data setsen
dc.subjectmathematical programming methodsen
dc.subjectdata miningen
dc.subjectdata analysisen
dc.titleMathematical Programming for Data Mining: Formulations and Challengesen
dc.typeTechnical Reporten


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Math Prog Technical Reports
    Math Prog Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

Show simple item record