Computer and Information Sciences – ISCIS 2006

Volume 4263 of the series Lecture Notes in Computer Science pp 593-602

A Framework for Visualizing Association Mining Results

  • Gürdal ErtekAffiliated withFaculty of Engineering and Natural Sciences, Sabanci University
  • , Ayhan DemirizAffiliated withDepartment of Industrial Engineering, Sakarya University

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Association mining is one of the most used data mining techniques due to interpretable and actionable results. In this study we propose a framework to visualize the association mining results, specifically frequent itemsets and association rules, as graphs. We demonstrate the applicability and usefulness of our approach through a Market Basket Analysis (MBA) case study where we visually explore the data mining results for a supermarket data set. In this case study we derive several interesting insights regarding the relationships among the items and suggest how they can be used as basis for decision making in retailing.