Master'sOpen Access

Data mining and supermarket analysis with Apriori algorithm

2009
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Advisor: Doç. Dr. İbrahim Çil

Abstract (EN)

Today, large amounts of data can be collected and stored with increasing technologic investments of the organizations. Analyzing, expounding and how to use decision making of these collected data are getting important issue. Usage of data mining became prevalent because of using automatic information discovery methods to find information that is hidden in databases with increasing technologic investments. In this context, association rule is one of the most common technique in data mining. Association rules purpose finding relationships among of items and association rule is mostly used for supermarket applications.This study gives basic information about data mining, association rules and Apriori that is one of the main algorithms of association rule mining are examined in details. Market basket analysis has done with Migros Türk A.Ş. data?s by using Apriori algorithm with the data mining software. As a result, this study gives information about products which sales together and then a new market store layout is proposed.

Author

Dr. Derya Ay

How to Cite

Derya Ay (Master Thesis). Data mining and supermarket analysis with Apriori algorithm, 2009, Sakarya University.

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