Mathematical Programming for Data Mining: Formulations and Challenges

dc.contributor.author	Mangasarian, O.L.
dc.contributor.author	Fayyad, Usama M.
dc.contributor.author	Bradley, P.S.
dc.date.accessioned	2013-06-28T14:03:20Z
dc.date.available	2013-06-28T14:03:20Z
dc.date.issued	1998
dc.description.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 constrictions by the optimization research communities. Towards these goals, we includes formulations of 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.identifier.citation	98-01	en
dc.identifier.uri	http://digital.library.wisc.edu/1793/66078
dc.subject	optimization	en
dc.subject	prediction	en
dc.subject	clustering	en
dc.subject	classification	en
dc.subject	challenges for massive data sets	en
dc.subject	mathematical programming methods	en
dc.subject	data mining	en
dc.subject	data analysis	en
dc.title	Mathematical Programming for Data Mining: Formulations and Challenges	en
dc.type	Technical Report	en

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