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A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets

  • Bay Vo
  • Bac Le
  • Jason J. Jung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7653)

Abstract

In this paper, we propose a method for mining Frequent Weighted Utility Itemsets (FWUIs) from quantitative databases. Firstly, we introduce the WIT (Weighted Itemset Tidset) tree data structure for mining high utility itemsets in the work of Le et al. (2009) and modify it into MWIT (M stands for Modification) tree for mining FWUIs. Next, we propose an algorithm for mining FWUIs using MWIT-tree. We test the proposed algorithm in many databases and show that they are very efficient.

Keywords

frequent weighted utility itemsets MWIT-tree quantitative databases weighted support 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Bay Vo
    • 1
  • Bac Le
    • 2
  • Jason J. Jung
    • 3
  1. 1.Information Technology CollegeHo Chi MinhViet Nam
  2. 2.Department of Computer ScienceUniversity of ScienceHo Chi MinhViet Nam
  3. 3.Department of Computer EngineeringYeungnam UniversityRepublic of Korea

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