Mathematical programming for data mining: Formulations and challenges

Citation
Ps. Bradley et al., Mathematical programming for data mining: Formulations and challenges, INFORMS J C, 11(3), 1999, pp. 217-238
Citations number
125
Categorie Soggetti
Computer Science & Engineering
Journal title
INFORMS JOURNAL ON COMPUTING
ISSN journal
10919856 → ACNP
Volume
11
Issue
3
Year of publication
1999
Pages
217 - 238
Database
ISI
SICI code
1091-9856(199922)11:3<217:MPFDMF>2.0.ZU;2-K
Abstract
This article is intended to serve as an overview of a rapidly emerging rese arch and applications area. In addition to providing a general overview, mo tivating the importance of data mining problems within the area of knowledg e 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 p rovide examples of successful mathematical programming approaches to some d ata mining problems.