Mining positive and negative fuzzy association rules

被引：0
|
作者：
Yan, P [1 ]
Chen, GQ
Cornelis, C
De Cock, M
Kerre, E
机构：
[1] Tsing Hua Univ, Sch Econ & Management, Beijing, Peoples R China
[2] State Univ Ghent, Fuzziness & Uncertainty Modelling Res Unit, B-9000 Ghent, Belgium
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2004年 / 3213卷
关键词：
fuzzy association rules; positive and negative associations; quantitative attributes;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy association rules. We show how, by a deliberate choice of fuzzy logic connectives, significantly increased expressivity is available at little extra cost. In particular, rule quality measures for negative rules can be computed without additional scans of the database.
引用
收藏
页码：270 / 276
页数：7
相关论文
共 50 条
  • [41] Mining changes in association rules: a fuzzy approach
    Au, WH
    Chan, KCC
    [J]. FUZZY SETS AND SYSTEMS, 2005, 149 (01) : 87 - 104
  • [42] Fuzzy Association Rules Mining Using Spark
    Fernandez-Bassso, Carlos
    Dolores Ruiz, M.
    Martin-Bautista, Maria J.
    [J]. INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, PT II, 2018, 854 : 15 - 25
  • [43] Fuzzy association rules and the extended mining algorithms
    Chen, GQ
    Wei, Q
    [J]. INFORMATION SCIENCES, 2002, 147 (1-4) : 201 - 228
  • [44] Online mining of weighted fuzzy association rules
    Kaya, M
    Alhajj, R
    [J]. COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, 2003, 2869 : 308 - 315
  • [45] Parallel algorithm for mining fuzzy association rules
    Xu, BW
    Lu, JJ
    Zhang, YZ
    Xu, L
    Chen, HW
    Yang, HJ
    [J]. 2003 INTERNATIONAL CONFERENCE ON CYBERWORLDS, PROCEEDINGS, 2003, : 288 - 293
  • [46] Mining fuzzy association rules with weighted items
    Joyce, SY
    Tsang, E
    Yeung, D
    Shi, DM
    [J]. SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 1906 - 1911
  • [47] Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets
    Mahmood, Sajid
    Shahbaz, Muhammad
    Guergachi, Aziz
    [J]. SCIENTIFIC WORLD JOURNAL, 2014,
  • [48] Mining a complete set of both positive and negative association rules from large databases
    Wang, Hao
    Zhang, Xing
    Chen, Guoqing
    [J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2008, 5012 : 777 - 784
  • [49] Research on Association Rules Mining Base on Positive and Negative Items of FP-tree
    Chen, Chunwei
    Wang, Dandong
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 1395 - 1399
  • [50] An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules
    Bilal Alataş
    Erhan Akin
    [J]. Soft Computing, 2006, 10 : 230 - 237
12345