Optimized Mining of Potential Positive and Negative Association Rules

被引：2
|
作者：
Bemarisika, Parfait [1 ,2 ]
Totohasina, Andre [1 ]
机构：
[1] Univ Antsiranana, Lab Math Informat, ENSET, Antsiranana, Madagascar
[2] Univ La Reunion, Lab Informat & Math EA2525, St Denis, France
来源：
BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, DAWAK 2017 | 2017年 / 10440卷
关键词：
Association rules; Optimized extraction; Support-M-GK;
D O I：
10.1007/978-3-319-64283-3_31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The negative association rules are less explored compared to the positive rules. The existing models are limited to the structure of binary data requiring of the repetitive accesses to the context, and the traditional couple support-confiance which is not effective in the presence of the dense data. For that, we propose a new model of optimization by using a new structure of data, noted MatriceSupport, and a new more selective couple, support-M-GK.
引用
收藏
页码：424 / 432
页数：9
相关论文
共 50 条
  • [1] MINING POSITIVE AND NEGATIVE ASSOCIATION RULES
    Zhu, Honglei
    Xu, Zhigang
    PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, : 2748 - 2752
  • [2] Mining Indirect Positive and Negative Association Rules
    Ramasubbareddy, B.
    Govardhan, A.
    Ramamohanreddy, A.
    ADVANCES IN COMPUTING AND COMMUNICATIONS, PT I, 2011, 190 : 581 - +
  • [3] Mining positive and negative fuzzy association rules
    Yan, P
    Chen, GQ
    Cornelis, C
    De Cock, M
    Kerre, E
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2004, 3213 : 270 - 276
  • [4] Mining positive and negative association rules:: An approach for confined rules
    Antonie, ML
    Zaïane, OR
    KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004, PROCEEDINGS, 2004, 3202 : 27 - 38
  • [5] Mining Positive and Negative Association Rules with Weighted Items
    Jiang, He
    Zhao, Yuanyuan
    Dong, Xiangjun
    Shang, Shiju
    DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, : 437 - 441
  • [6] An Algorithm for Mining Multidimensional Positive and Negative Association Rules
    Jiang, He
    Bai, Ze
    Liu, Guoling
    Luan, Xiumei
    ACHIEVEMENTS IN ENGINEERING MATERIALS, ENERGY, MANAGEMENT AND CONTROL BASED ON INFORMATION TECHNOLOGY, PTS 1 AND 2, 2011, 171-172 : 445 - +
  • [7] Research on Mining Sequential Positive and Negative Association Rules
    Jiang, He
    Geng, Runian
    Sun, Baoyou
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 703 - 706
  • [8] Efficient mining of both positive and negative association rules
    Wu, XD
    Zhang, CQ
    Zhang, SC
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2004, 22 (03) : 381 - 405
  • [9] RESEARCH AND APPLICATION OF ALGORITHM FOR MINING POSITIVE AND NEGATIVE ASSOCIATION RULES
    Peng, Xushan
    Wu, Yanyan
    INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS, 2009, : 438 - 440
  • [10] Mining positive and negative association rules from large databases
    Cornelis, Chris
    Yan, Peng
    Zhang, Xing
    Chen, Guoqing
    2006 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2006, : 152 - 157
12345