Mining association rules with composite items

被引：0
|
作者：
Ye, XF
Keane, JA
机构：
来源：
SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION | 1997年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Association rules can be used to express relationships between items of data. Mining associations rules is to analysis the data in a database to discover ''interesting'' rules. Existing algorithms for mining association rules require that a record in the database contain all the data items in a rule. This requirement makes it difficult to discover certain useful rules in some applications. To solve the problem, this paper describes an algorithm for mining association rules with composite items. The algorithm has the potential to discover rules which cannot be discovered by existing algorithms.
引用
收藏
页码：1367 / 1372
页数：6
相关论文
共 50 条
  • [1] Mining fuzzy association rules from composite items
    School of computing, Liverpool Hope University, L16 9JD, United Kingdom
    不详
    IFIP Advances in Information and Communication Technology, 2008, (67-76)
  • [2] Mining fuzzy Association Rules from composite items
    Khan, M. Sulaiman
    Muyeba, Maybin
    Coenen, Frans
    ARTIFICIAL INTELLIGENCE IN THEORY AND PRACTICE II, 2008, 276 : 67 - +
  • [3] Mining the most reliable association rules with composite items
    Wang, Ke
    Liu, James N. K.
    Ma, Wei-Min
    ICDM 2006: SIXTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, WORKSHOPS, 2006, : 749 - 753
  • [4] A Framework for Mining Fuzzy Association Rules from Composite Items
    Muyeba, Maybin
    Khan, M. Sulaiman
    Coenen, Frans
    NEW FRONTIERS IN APPLIED DATA MINING, 2009, 5433 : 62 - +
  • [5] Mining association rules with weighted items
    Cai, CH
    Fu, AWC
    Cheng, CH
    Kwong, WW
    IDEAS 98 - INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM, PROCEEDINGS, 1998, : 68 - 77
  • [6] Mining fuzzy association rules with weighted items
    Joyce, SY
    Tsang, E
    Yeung, D
    Shi, DM
    SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 1906 - 1911
  • [7] Mining Weighted Association Rules for Fuzzy Quantitative Items
    Gyenesei, Attila
    LECTURE NOTES IN COMPUTER SCIENCE <D>, 2000, 1910 : 416 - 423
  • [8] 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
  • [9] Mining association rules based on seed items and weights
    Xiang, C
    Yi, Z
    Yue, W
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS, 2005, 3613 : 603 - 608
  • [10] Mining Interesting Disjunctive Association Rules from Unfrequent Items
    Hilali, Ines
    Jen, Tao-Yuan
    Laurent, Dominique
    Marinica, Claudia
    Ben Yahia, Sadok
    INFORMATION SEARCH, INTEGRATION, AND PERSONALIZATION, 2014, 421 : 84 - 99
12345