An Improved Association Rule Mining Technique for Xml Data Using Xquery and Apriori Algorithm

被引：9
|
作者：
Porkodi, R. [1 ]
Bhuvaneswari, V. [1 ]
Rajesh, R. [1 ]
Amudha, T. [1 ]
机构：
[1] Bharathiar Univ, Sch Engn & Comp Sci, Coimbatore, Tamil Nadu, India
来源：
2009 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, VOLS 1-3 | 2009年
关键词：
XQuery; XML data; Apriori; Association Rule mining;
D O I：
10.1109/IADCC.2009.4809242
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The usage of XML data in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semi structured data tends to develop the various tools and techniques to perform various data mining operations on XML documents and XML repositories. In recent years, several encouraging methods have been identified and developed for mining XML data. In this paper, we present an improved framework for mining association rules from XML data using XQUERY and .NET based implementation of Apriori algorithm.
引用
收藏
页码：1510 / 1514
页数：5
相关论文
共 50 条
  • [1] An Improved Association Rule Mining Technique for XML Data
    He Xiaojun
    Fan Chunxiao
    Li Shuyun
    [J]. PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY, 2009, : 238 - +
  • [2] An Improved Apriori Algorithm for Association Rule Mining in Employability Analysis
    Peng, Fang
    Sun, Yuhui
    Chen, Zigen
    Gao, Jing
    [J]. TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2023, 30 (05): : 1435 - 1442
  • [3] Privacy Preserving Data Mining Using Association Rule Based on Apriori Algorithm
    Rehman, Shabnum
    Sharma, Anil
    [J]. ADVANCED INFORMATICS FOR COMPUTING RESEARCH, ICAICR 2017, 2017, 712 : 218 - 226
  • [4] Apriori Algorithm for Association Rule Mining in High Dimensional Data
    Harikumar, Sandhya
    Dilipkumar, Divya Usha
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON DATA SCIENCE & ENGINEERING (ICDSE), 2016, : 115 - 120
  • [5] Association Rule Generation using Pattern Mining Apriori Technique
    Verma, Amit
    Kumar, Raman
    [J]. JOURNAL OF ALGEBRAIC STATISTICS, 2022, 13 (02) : 550 - 556
  • [6] Study of an improved Apriori algorithm for data mining of association rules
    Zhang, Xueting
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 : 1211 - 1218
  • [7] Research on Audit Log Association Rule Mining Based on Improved Apriori Algorithm
    Cheng, Maocai
    Xu, Kaiyong
    Gong, Xuerong
    [J]. PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA), 2016, : 11 - 17
  • [8] An Improved Apriori Algorithm for Mining Association Rules
    Yuan, Xiuli
    [J]. ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS I, 2017, 1820
  • [9] An Improved Apriori Algorithm for Association Rules of Mining
    Wei Yong-qing
    Yang Ren-hua
    Liu Pei-yu
    [J]. 2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2009, : 942 - +
  • [10] The application of improved association rules data mining algorithm Apriori in CRM
    Gong, Peng
    Yang, Chi
    Li, Hui
    Kou, Weili
    [J]. 2007 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2, 2007, : 52 - +
12345