Mathematical Programming for Data Mining: Formulations and Challenges
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/1793/64378Citation
98-01