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Designing OLAP Cube Structures for Market Basket Analysis
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2007, 12(4), pp.179-190
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2007, 12(4), pp.179-190
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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Every purchase a customer makes builds patterns about how products are purchased together. The process of finding these patterns, called market basket analysis, is composed of two steps in the Microsoft Association Algorithm. The first step is to find frequent item-sets. The second step which requires much less time than the first step does is to generate association rules based on frequent item-sets. Even though the first step, finding frequent item-sets, is the core part of market basket analysis, when applied to Online Analytical Processing(OLAP) cubes it always raises several points such as longitudinal analysis becomes impossible and many unpractical transactions are built up. In this paper, a new OLAP cube structures designing method which makes longitudinal analysis be possible and also makes only real customers' purchase patterns be identified is proposed for market basket analysis.
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