• DocumentCode
    402860
  • Title

    An adaptive algorithm for incremental mining association rules

  • Author

    Qian, Jin ; Meng, Xiang-ping

  • Author_Institution
    Dept. of Inf. Eng., Northeast China Electr. Power Inst., Jilin, China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    67
  • Abstract
    An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain the association rules current when the two thresholds change. In this paper, we propose an adaptive algorithm (IMARA) for incremental mining of association rules in light of threshold changes.
  • Keywords
    data mining; database management systems; adaptive algorithm; database mining; incremental mining association rules; incremental updating technique; large databases; threshold changes; Adaptive algorithm; Association rules; Data engineering; Data mining; Electronic mail; Itemsets; Iterative algorithms; Machine learning algorithms; Power engineering and energy; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264444
  • Filename
    1264444
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=402860