• DocumentCode
    526642
  • Title

    Research of AprioriHybird algorithm and application in network situational awareness

  • Author

    Yanbo, Wang ; Huiqiang, Wang ; Xuefei, Jiang ; Ming, Yu

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • Volume
    7
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    170
  • Lastpage
    172
  • Abstract
    The article analyzes the advantages and disadvantages of Apriori, AprioriTid and AprioriHybrid simply. To solve the bottleneck of AprioriHybrid algorithm, a kind of Hash-based method to condense candidate itemset is presented, and providing the corresponding algorithm. Finally the experiment proves the efficiency of improved AprioriHybrid-H is better than AprioriHybrid Algorithm´s, there is strong guiding significance to apply in the concrete network situational awareness systems so that excavating a large number of interesting association rules, understanding the current network status, judging and taking measures timely.
  • Keywords
    data mining; security of data; AprioriHybird algorithm; association rules; hash-based method; network situational awareness; Algorithm design and analysis; Computers; Itemsets; AprioriHybird algorithm; Network security situational; hash; itemset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564777
  • Filename
    5564777