Classification and Target Group Selection Based Upon Frequent Patterns
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|
|Publisher||Erasmus Research Institute of Management (ERIM)|
Pijls, W.H.L.M., & Potharst, R.. (2000). Classification and Target Group Selection Based Upon Frequent Patterns (No. ERS-2000-40-LIS). Erasmus Research Institute of Management (ERIM). Retrieved from http://hdl.handle.net/1765/50