Parallel implementation of association rule in Data Mining

被引：0
|
作者：
Einakian, Sussan [1 ]
Ghanbari, M. [1 ]
机构：
[1] Univ Alabama, Huntsville, AL 35899 USA
来源：
Proceedings of the Thirty-Eighth Southeastern Symposium on System Theory | 2004年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses parallel Data Mining architecture for large volume of data which eventually scanning billions of rows of data per record. Here we compare the different parallel algorithms for Association Rule Mining and discuss the advantages and disadvantages of each method. We also compare the computational time of serial and parallel algorithms for Association Rule Mining.
引用
收藏
页码：21 / 26
页数：6
相关论文
共 50 条
  • [31] Fast parallel association rule mining without candidacy generation
    Zaïane, OR
    El-Hajj, M
    Lu, P
    2001 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2001, : 665 - 668
  • [32] A peer-to-peer approach to parallel association rule mining
    Ishikawa, H
    Shioya, Y
    Omi, T
    Ohta, M
    Katayama, K
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2004, 3213 : 178 - 188
  • [33] Association rule filter for data mining in call tracking data
    Matsumoto, K
    Hashimoto, K
    IEICE TRANSACTIONS ON COMMUNICATIONS, 1998, E81B (12) : 2481 - 2486
  • [34] Scalable parallel data mining for association rules
    Han, EH
    Karypis, G
    Kumar, V
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2000, 12 (03) : 337 - 352
  • [35] Incremental association rule mining using materialized data mining views
    Morzy, M
    Morzy, T
    Królikowski, Z
    ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS, 2004, 3261 : 77 - 87
  • [36] Mining Interest In Online Shoppers' Data: An Association Rule Mining Approach
    Kwarteng, Michael Adu
    Pilik, Michal
    Jurickova, Eva
    ACTA POLYTECHNICA HUNGARICA, 2017, 14 (07) : 143 - 160
  • [37] Optimized Fuzzy Association Rule Mining for Quantitative Data
    Zheng, Hui
    He, Jing
    Huang, Guangyan
    Zhang, Yanchun
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 396 - 403
  • [38] Distributed Data Association Rule Mining: Tools and Techniques
    Sethi, Manoj
    Jindal, Rajni
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 481 - 485
  • [39] Data sanitization in association rule mining: An analytical review
    Telikani, Akbar
    Shahbahrami, Asadollah
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 96 : 406 - 426
  • [40] An Improved Association Rule Mining Technique for XML Data
    He Xiaojun
    Fan Chunxiao
    Li Shuyun
    PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY, 2009, : 238 - +
12345