Operations Research in Data Mining
Shouyi Wang, Wanpracha Art Chaovalitwongse, Onur Şeref · Wiley Encyclopedia of Operations Research and Management Science · 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.