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Supervised Classification and Mathematical Optimization

Publication: Research - peer-reviewJournal article

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.

Publication information

Original languageEnglish
JournalComputers & Operations Research
Volume40
Issue number1
Pages (from-to)150–165
ISSN0305-0548
DOIs
StatePublished - 2013
Externally publishedYes

ID: 40947593