This chapter presents data mining techniques that are formulated as combinatorial optimization problems together with their applications. There are a number of cases where fundamental data mining tool is not combinatorial in nature, yet widely used special-purpose combinatorial extensions exist. For the sake of completeness, these fundamental tools are also discussed in detail before the extensions with underlying combinatorial optimization problems. A number of computationally challenging data mining algorithms that have non-convex formulations are also explored.
CITATION STYLE
Saedi, S., & Kundakcioglu, O. E. (2013). Combinatorial optimization in data mining. In Handbook of Combinatorial Optimization (Vol. 1–5, pp. 595–630). Springer New York. https://doi.org/10.1007/978-1-4419-7997-1_7
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