Standard Article

Operations Research in Data Mining

  1. Shouyi Wang1,
  2. Wanpracha Art Chaovalitwongse1,
  3. Onur Seref2

Published Online: 15 FEB 2011

DOI: 10.1002/9780470400531.eorms0596

Wiley Encyclopedia of Operations Research and Management Science

Wiley Encyclopedia of Operations Research and Management Science

How to Cite

Wang, S., Chaovalitwongse, W. A. and Seref, O. 2011. Operations Research in Data Mining. Wiley Encyclopedia of Operations Research and Management Science. .

Author Information

  1. 1

    Rutgers University, Department of Industrial and Systems Engineering, Piscataway, New Jersey

  2. 2

    Virginia Polytechnic Institute and State University, Department of Business Information Technology, Blacksburg, Virginia

Publication History

  1. Published Online: 15 FEB 2011

Abstract

Data mining (DM) and operations research (OR) are two largely independent paradigms of science. DM involves data driven methods that are aimed at extracting meaningful patterns from data instances, whereas OR employs mathematical models and analytical techniques to achieve optimal solutions for complex decision-making problems. DM and OR are also two overlapping disciplines. There is a growing interest in applying OR techniques to determine the optimal underlying fitting data structures in DM problems. This article provides a description of the basic concepts and methodologies of influential DM techniques, and discusses how OR can be applied to these techniques.

Keywords:

  • data mining;
  • operations research;
  • optimization