Bradley, P. S.; Fayyad, Usama M.; Mangasarian, O. L. Mathematical programming for data mining: Formulations and challenges. (English) Zbl 0973.90096 INFORMS J. Comput. 11, No. 3, 217-238 (1999). Summary: This article 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 data-bases, 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. Cited in 46 Documents MSC: 90C90 Applications of mathematical programming 68T99 Artificial intelligence 68P15 Database theory 90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming Keywords:data mining; knowledge discovery in databases; mathematical programming Software:PVM; VanHuffel; GAMS PDFBibTeX XMLCite \textit{P. S. Bradley} et al., INFORMS J. Comput. 11, No. 3, 217--238 (1999; Zbl 0973.90096) Full Text: DOI Link