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Mining High Utility Itemsets Based on the Pre-large Concept

  • Chun-Wei Lin
  • Tzung-Pei Hong
  • Guo-Cheng Lan
  • Jia-Wei Wong
  • Wen-Yang Lin
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 20)

Abstract

In this paper, an incremental mining algorithm is proposed for efficiently maintaining the discovered high utility itemsets based on the pre-large concept. It first partitions itemsets into nine cases according to whether they are large (high), pre-large or small transaction-weighted utilization in the original database and in the inserted transactions. Each part is then performed by its own procedure. Experimental results also show that the designed incremental high utility mining algorithm has better performance than the bach one for handling inserted transactions.

Keywords

Utility mining pre-large itemset high utility itemset incremental mining two-phase approach 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chun-Wei Lin
    • 1
  • Tzung-Pei Hong
    • 2
    • 3
  • Guo-Cheng Lan
    • 4
  • Jia-Wei Wong
    • 3
  • Wen-Yang Lin
    • 2
  1. 1.School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate SchoolInnovative Information Industry Research Center (IIIRC)XiliP.R. China
  2. 2.Department of Computer Science and Information EngineeringNational University of KaohsiungKaohsiungTaiwan, R.O.C.
  3. 3.Department of Computer Science and EngineeringNational Sun Yat-sen UniversityKaohsiungTaiwan, R.O.C.
  4. 4.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan, R.O.C.

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