Mining generalized association rules based on frequent pattern tree

被引：0
|
作者：
Li, Nai-Qian
Shen, Jun-Yi
Song, Qin-Bao
机构：
来源：
| 2002年 / Shenyang Institute of Computing Technology卷 / 23期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Frequent XML query pattern mining based on FP-TRee
    Gu, Mi Sug
    Hwang, Jeong Hee
    Ryu, Keun Ho
    DEXA 2007: 18TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2007, : 555 - +
  • [32] Association Rule Based Frequent Pattern Mining in Biological Sequences
    Salim, A.
    Chandra, Vinod S. S.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 393 - 397
  • [33] Tree structure based parallel frequent pattern mining on PC cluster
    Pramudiono, I
    Kitsuregawa, M
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2003, 2736 : 537 - 547
  • [34] Improved pattern tree for incremental frequent-pattern mining
    Zhou M.
    Wang T.
    Transactions of Tianjin University, 2010, 16 (2) : 129 - 134
  • [35] MINING MOST GENERALIZATION ASSOCIATION RULES BASED ON FREQUENT CLOSED ITEMSET
    Vo, Bay
    Hong, Tzung-Pei
    Le, Bac
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (10B): : 7117 - 7132
  • [36] Association Rules Mining Based on Minimal Generator of Frequent Closed Itemset
    Chen, Xiao-mei
    Wang, Chang-ying
    Cao, Han
    ECOSYSTEM ASSESSMENT AND FUZZY SYSTEMS MANAGEMENT, 2014, 254 : 275 - 282
  • [37] Improved Pattern Tree for Incremental Frequent-Pattern Mining
    周明
    王太勇
    Transactions of Tianjin University, 2010, 16 (02) : 129 - 134
  • [38] Improved Pattern Tree for Incremental Frequent-Pattern Mining
    周明
    王太勇
    Transactions of Tianjin University , 2010, (02) : 129 - 134
  • [39] Tree structures for mining association rules
    Coenen, F
    Goulbourne, G
    Leng, P
    DATA MINING AND KNOWLEDGE DISCOVERY, 2004, 8 (01) : 25 - 51
  • [40] Tree Structures for Mining Association Rules
    Frans Coenen
    Graham Goulbourne
    Paul Leng
    Data Mining and Knowledge Discovery, 2004, 8 : 25 - 51
12345