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Classification and Target Group Selection Based Upon Frequent Patterns

Author

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  • Pijls, W.H.L.M.
  • Potharst, R.

Abstract

In this technical report , two new algorithms based upon frequent patterns are proposed. One algorithm is a classification method. The other one is an algorithm for target group selection. In both algorithms, first of all, the collection of frequent patterns in the training set is constructed. Choosing an appropriate data structure allows us to keep the full collection of frequent patterns in memory. The classification method utilizes directly this collection. Target group selection is a known problem in direct marketing. Our selection algorithm is based upon the collection of frequent patterns.

Suggested Citation

  • Pijls, W.H.L.M. & Potharst, R., 2000. "Classification and Target Group Selection Based Upon Frequent Patterns," ERIM Report Series Research in Management ERS-2000-40-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:50
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    File URL: https://repub.eur.nl/pub/50/erimrs20001020162258.pdf
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    More about this item

    Keywords

    association rules; classification; frequent item sets; target group selection;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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