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Combinatorial Optimization in Data Mining

Reference work entry

Abstract

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.

Keywords

Feature Selection Support Vector Regression Unlabeled Data Data Mining Tool Pattern Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Industrial EngineeringUniversity of HoustonHoustonTX, USA
  2. 2.Department of Industrial EngineeringUniversity of HoustonHoustonTX, USA

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