Supervised classification and mathematical optimization

Supervised classification and mathematical optimization

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Article ID: iaor20125420
Volume: 40
Issue: 1
Start Page Number: 150
End Page Number: 165
Publication Date: Jan 2013
Journal: Computers and Operations Research
Authors: ,
Keywords: datamining
Abstract:

Data mining techniques often ask for the resolution of optimization problems. Supervised classification, and, in particular, support vector machines, can be seen as a paradigmatic instance. In this paper, some links between mathematical optimization methods and supervised classification are emphasized. It is shown that many different areas of mathematical optimization play a central role in off‐the‐shelf supervised classification methods. Moreover, mathematical optimization turns out to be extremely useful to address important issues in classification, such as identifying relevant variables, improving the interpretability of classifiers or dealing with vagueness/noise in the data.

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