Finding a Unique Association Rule Mining Algorithm Based on Data Characteristics

被引：2
|
作者：
Mazid, Mohammed M. [1 ]
Ali, A. B. M. Shawkat [1 ]
Tickle, Kevin S. [1 ]
机构：
[1] Cent Queensland Univ, Fac Business & Informat, Sch Comp Sci, Rockhampton, Qld 4702, Australia
来源：
PROCEEDINGS OF ICECE 2008, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/ICECE.2008.4769340
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This research compares the performance of three popular Association Rule Mining algorithms, namely Apriori, Predictive Apriori and Tertius based on data characteristics. The accuracy measure is used as the performance measure for ranking the algorithms. A wide variety of Association Rule Mining algorithms can create a time consuming problem for choosing the most suitable one for performing the role mining task. A meta-learning technique is Implemented for a unique selection from a set of association rule mining algorithms. On the basis of experimental results of 15 UCI data sets, this research discovers statistical information based rules to choose a more effective algorithm.
引用
收藏
页码：902 / 908
页数：7
相关论文
共 50 条
  • [1] Data mining association rule algorithm based on Hadoop
    Huang Suyu
    [J]. PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015), 2015, : 349 - 352
  • [2] Research of Association Rule Algorithm based on Data Mining
    Song, Changxin
    [J]. PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA), 2016, : 23 - 26
  • [3] An efficient algorithm for unique class association rule mining
    Nasr, Mahmoud
    Hamdy, Mohamed
    Hegazy, Doaa
    Bahnasy, Khaled
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 164
  • [4] The association rule algorithm with missing data in data mining
    Gerardo, BD
    Lee, J
    Lee, J
    Park, M
    Lee, M
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 1, 2004, 3043 : 97 - 105
  • [5] The Optimization of Association Rule Algorithm in Data Mining
    Fan, Yang
    [J]. ADVANCED DEVELOPMENT IN AUTOMATION, MATERIALS AND MANUFACTURING, 2014, 624 : 549 - 552
  • [6] Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF
    Reynaldo, Jason
    Tonara, David Boy
    [J]. 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SYSTEMS, TECHNOLOGY AND INFORMATION (ICESTI 2017), 2018, 164
  • [7] Association Rule Mining Based on Bat Algorithm
    Heraguemi, Kamel Eddine
    Kamel, Nadjet
    Drias, Habiba
    [J]. BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS, BIC-TA 2014, 2014, 472 : 182 - 186
  • [8] Based On The Possibility Of An Association Rule Mining Algorithm
    Xu, Zhi-Wei
    Zhang, Xue-Feng
    Zhang, Hai-Wang
    [J]. WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 187 - +
  • [9] Algorithm of Mining Association Rule Based on Matrix
    Lin, Zi-zhi
    Shu, Si-Hui
    Ding, Yun
    [J]. APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 786 - 791
  • [10] Association rule mining algorithm based on SQL
    Yan, Jia
    Xue, Chongsheng
    Yan, Xuesong
    [J]. PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 473 - 475
12345