• DocumentCode
    506913
  • Title

    Rule-Chain Incremental Mining Algorithm Based on Directed Graph

  • Author

    Ning, Hongyun ; Zhang, Zhiying ; Zhang, Degan

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    118
  • Lastpage
    122
  • Abstract
    Aiming to discover the rule-chains directly, a novel graph-based online incremental mining algorithm (RIOMining) is proposed. Firstly, an interrelated bitmap based on a directed graph (PAGraph) is designed to compress the rule-chain information for storage. The compressed storage of the directed-graph effectively avoids repetitious database scanning and makes meaningful rules found more conveniently. Secondly, four theorems about discovery and pruning of frequent path in the graph are proved, so as to the rule-chains could be iteratively generated by searching incremental paths, while the theorems narrow the search scope and promote the performance by properly pruning and extending paths. It effectively reduces the redundancy calculation. Comparing it with other two fast mining algorithms, DLG and FP-growth, experimental result shows that it can mine rule-chains of high quality, especially, it is of real-time accuracy, and thereby it can be widely applied to dynamic network environment.
  • Keywords
    data mining; directed graphs; DLG-growth; FP-growth; directed graph; interrelated bitmap; rule-chain incremental mining algorithm; rule-chain information; Algorithm design and analysis; Association rules; Computer science education; Computer vision; Data mining; Educational technology; Fuzzy systems; Iterative algorithms; Laboratories; Transaction databases; Association rule; Frequent Path Discovery; Incremental Mining; Rule-chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.587
  • Filename
    5358679