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Re-Mining Association Mining Results Through Visualization, Data Envelopment Analysis, and Decision Trees

  • Gurdal ErtekEmail author
  • Murat Mustafa Tunc
Chapter
Part of the Atlantis Computational Intelligence Systems book series (ATLANTISCIS, volume 6)

Abstract

Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology, and shows the applicability of the developed methodology through real world data. The methodology suggests re-mining using data visualization, data envelopment analysis, and decision trees. Six hypotheses, regarding how re-mining can be carried out on association mining results, are answered in the case study through empirical analysis.

Keywords

Data Envelopment Analysis Association Rule Data Envelopment Analysis Model Industrial Engineer Frequent Itemsets 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Atlantis Press 2012

Authors and Affiliations

  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityTuzla, IstanbulTurkey

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