Classification and Target Group Selection Based Upon Frequent Patterns

Wim Pijls and Rob Potharst

ERIM Report Series Research in Management from 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

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.

Keywords: association rules; classification; frequent item sets; target group selection (search for similar items in EconPapers)
JEL-codes: C6 M M11 R4 (search for similar items in EconPapers)
Date: 2000-10-20
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Citations: View citations in EconPapers (1)

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