We use cookies to improve your experience with our site.

Indexed in:

SCIE, EI, Scopus, INSPEC, DBLP, CSCD, etc.

Submission System
(Author / Reviewer / Editor)
Advanced Search
Volume 15 Issue 4
July  2000
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHOU Aoying, ZHOU Shuigeng, JIN Wen, TIAN Zengping. Generalized Multidimensional Association Rules[J]. Journal of Computer Science and Technology, 2000, 15(4): 388-392.
Citation: ZHOU Aoying, ZHOU Shuigeng, JIN Wen, TIAN Zengping. Generalized Multidimensional Association Rules[J]. Journal of Computer Science and Technology, 2000, 15(4): 388-392.
shu

Generalized Multidimensional Association Rules

  • Department of Computer Science; Fudan University; Shanghai 200433; P.R.China ;

More Information
  • Published Date: July 09, 2000
    Abstract
  • The problem of association rule mining has gained considerableprominence in the data mining community for its use as an important tool of knowledge discovery from large-scale databases. And there has been a spurt of researchactivities around this problem. Traditional association rule mining is limited tointratransaction. Only recently the concept of N-dimensional inter-transaction association rule (NDITAR) was proposed by H.J. Lu. This paper modifies and extendsLu's definition of NDITAR based on the analysi…
    • FullText(HTML)
    • References (3)
  • [1]
    Chen M S, Han J, Yu P S. Data mining: An overview from database perspective. IEEE Transactions on Knowledge and Data Engineering, Dec. 1996, 8(6): 866-883.
    [2]
    Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In Proc. the ACM SIGMOD Conference on Management of Data, Washington, D. C., May 1993.
    [3]
    Agrawal R, Srikant R. Fast algorithms for mining association rules. In Proc. the 20th Int. Conference on Very Large Databases, Santiago, Chile, Sept. 1994. ………..
    • Relative Articles

  • Related Articles

    [1]Daniel Kunkle, Donghui Zhang, Gene Cooperman. Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy[J]. Journal of Computer Science and Technology, 2008, 23(1): 77-02.
    [2]Cai-Yan Jia, Xie-Ping Gao. Multi-Scaling Sampling: An Adaptive Sampling Method for Discovering Approximate Association Rules[J]. Journal of Computer Science and Technology, 2005, 20(3): 309-318.
    [3]ZHOU Haofeng, ZHU Jianqiu, ZHU Yangyong, SHI Baile. ARMiner: A Data Mining Tool Based on Association Rules[J]. Journal of Computer Science and Technology, 2002, 17(5).
    [4]ZHOU Aoying, WEI Li, YU Fang. Effective Discovery of Exception Class Association Rules[J]. Journal of Computer Science and Technology, 2002, 17(3).
    [5]LI Qingzhong, WANG Haiyang, YAN Zhongmin, MA Shaohan. Efficient Mining of Association Rules by Reducing the Number of Passes over the Database[J]. Journal of Computer Science and Technology, 2001, 16(2).
    [6]HUANG Liusheng, CHEN Huaping, WANG Xun, CHEN Guoliang. A Fast Algorithm for Mining Association Rules[J]. Journal of Computer Science and Technology, 2000, 15(6): 619-624.
    [7]HUANG Liusheng, CHEN Huaping, WANG Xun, CHEN Guoliang. A Fast Algorithm for Mining Associstion Rules[J]. Journal of Computer Science and Technology, 2000, 15(6).
    [8]ZHOU Aoying, ZHOU Shuigeng, JIN Wen, TIAN Zengping. Generalized Multidimensional Association Rules[J]. Journal of Computer Science and Technology, 2000, 15(4).
    [9]TAO Xiaopeng, ZHOU Aoying, HU Yunfa. Fast Algorithms of Mining Probability Functional Dependency Rules in Relational Database[J]. Journal of Computer Science and Technology, 2000, 15(3): 261-270.
    [10]Sun Jiaguang. Shape Grammars and Shape Rules[J]. Journal of Computer Science and Technology, 1987, 2(2): 124-132.
    • Supplements (0)

Catalog

    Get Citation
    PDF
    XML
    Article views (20) PDF downloads (1293) Cited by()
    Related

    Copyright ©2025 JCST, All Rights Reserved     京ICP备05002829号-1

    Institute of Computing Technology, Chinese Academy of Sciences
    P.O. Box 2704, Beijing 100190, P.R. China

    Tel.: 86-10-62610746 E-mail: jcst@ict.ac.cn

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return