A framework for visualizing association mining results
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Ertek, Gürdal and Demiriz, Ayhan (2006) A framework for visualizing association mining results. Lecture Notes in Computer Science, 4263 . pp. 593-602. ISSN 0302-9743
Official URL: http://www.springerlink.com/content/3675772w20313h1m/?p=3c92b99108154426b2b32864c1799f54&pi=0
Association mining is one of the most used data mining tech- niques due to interpretable and actionable results. In this study we pro- pose 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 sug- gest how they can be used as basis for decision making in retailing.
|Additional Information:||LNCS was in a SCI when the paper was accepted;but it was removed at the time the paper was published|
|Subjects:||Q Science > QA Mathematics|
|Deposited By:||Gürdal Ertek|
|Deposited On:||05 Dec 2006 02:00|
|Last Modified:||04 Sep 2019 11:03|
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