• DocumentCode
    2048263
  • Title

    Mining High Transaction-Weighted Utility Itemsets

  • Author

    Lan, Guo-Cheng ; Hong, Tzung-Pei ; Tseng, Vincent S.

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    1
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    314
  • Lastpage
    318
  • Abstract
    In this paper, we design a new kind of patterns, named high transaction-weighted utility itemsets, which considers not only individual profits and quantities of the items in a transaction, but also the contribution of each transaction in a database. We also propose a two-phased mining algorithm to discover high transaction-weighted utility itemsets. The experimental results on synthetic datasets show the proposed approach has a good performance.
  • Keywords
    data mining; database management systems; transaction processing; high transaction-weighted utility itemsets; itemset mining; Application software; Association rules; Biomedical engineering; Computer applications; Computer science; Data engineering; Data mining; Design engineering; Itemsets; Transaction databases; data mining; high transaction-weighted utility itemsets; high utility itemsets; two-phase mining; utility mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.69
  • Filename
    5445815
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2048263