Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 62-64    DOI: 10.11925/infotech.1003-3513.2006.05.16
Current Issue | Archive | Adv Search |
Web Usage Mining Research Based on XML
Pan Youneng
(Department of Information Resources Management, Zhejiang University, Hangzhou 310028,China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper builds a framework of Web usage mining based on XML technology, introduces XGMML and LOGML briefly. Then, the author discusses the method to generate LOGML documents. At last, the Apriori algorithm was used to mine frequent sets, frequent sequences and frequent sub-graphic in Web usage documents.
Key words： Data mining      Web usage data      XML     
Received: 16 February 2006      Published: 25 May 2006
: 

TP311

 		 
Corresponding Authors: Pan Youneng     E-mail: ynpan@zju.edu.cn
About author:: Pan Youneng
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

Pan Youneng . Web Usage Mining Research Based on XML. New Technology of Library and Information Service, 2006, 1(5): 62-64.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.05.16     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I5/62

1Facca, Federico Michele, Lanzi, Pier Luca. Mining interesting knowledge from weblogs: a survey. Data & Knowledge Engineering, 2005, 53(3): 225-241
2John R. Punin, Mukkai S. Krishnamoorthy, Mohammed J. Zaki. LOGML: Log Markup Language for Web Usage Mining. WWW10 Conference, 2001
3John Punin, Mukkai Krishnamoorthy. WWWPal System——A System for Analysis and Synthesis of Web Pages. WebNet 98 Conference, 1998
4赵红玲, 宋瀚涛, 牛振东, 刘桂山. Web日志挖掘中数据预处理的研究. 计算机应用研究, 2005, 22(6): 67-69
5潘有能, 邓三鸿. 基于XML和关联规则的Web挖掘研究. 现代图书情报技术, 2004(7): 30-34
6史忠植著. 知识发现. 北京: 清华大学出版社, 2002
[1] Xie Wang, Wang Lizhen, Chen Hongmei, Zeng Lanqing. Identifying Relationship Between Pollution Sources and Cancer Cases with Spatial Ordered Pair Patterns[J]. 数据分析与知识发现, 2021, 5(2): 14-31.
[2] Yong Zhang,Shuqing Li,Yongshang Cheng. Mining Algorithm for Weighted Association Rules Based on Frequency Effective Length[J]. 数据分析与知识发现, 2019, 3(7): 85-93.
[3] Quan Lu,Anqi Zhu,Jiyue Zhang,Jing Chen. Research on User Information Requirement in Chinese Network Health Community: Taking Tumor-forum Data of Qiuyi as an Example[J]. 数据分析与知识发现, 2019, 3(4): 22-32.
[4] Dongmei Mu,Hui Fa,Ping Wang,Jing Sun. Research on Disease Risk Factors on Structural Equation Model[J]. 数据分析与知识发现, 2019, 3(4): 80-89.
[5] Li Yongnan. Using Bayes Theory to Classify Counter Terrorism Intelligence[J]. 数据分析与知识发现, 2018, 2(10): 9-14.
[6] Mu Dongmei,Wang Ping,Zhao Danning. Reducing Data Dimension of Electronic Medical Records: An Empirical Study[J]. 数据分析与知识发现, 2018, 2(1): 88-98.
[7] Hu Zhongyi,Wang Chaoqun,Wu Jiang. Identifying Phishing Websites with Multiple Online Data Sources[J]. 数据分析与知识发现, 2017, 1(6): 47-55.
[8] Jiang Siwei,Xie Zhenping,Chen Meijie,Cai Ming. Self-Explainable Reduction Method for Mixed Feature Data Modeling[J]. 数据分析与知识发现, 2017, 1(12): 92-100.
[9] Mu Dongmei,Ren Ke. Discovering Knowledge from Electronic Medical Records with Three Data Mining Algorithms[J]. 现代图书情报技术, 2016, 32(6): 102-109.
[10] Li Feng,Li Shu’ning,Yu Jing. A Department Oriented Library Usage Data System for Graduates[J]. 现代图书情报技术, 2016, 32(5): 99-103.
[11] Zhao Jingxian. Detect of Internet Fake Public Opinion Based on Decision Tree[J]. 现代图书情报技术, 2015, 31(6): 78-84.
[12] He Jianmin, Wang Zhe. The Pedigree Method to Mine Influential Clusters of Topic Information in Social Network[J]. 现代图书情报技术, 2015, 31(5): 65-72.
[13] Huang Wenbin, Xu Shanchuan, Ma Long, Wang Jun. Analysis of Mobile User Behaviors with Telecommunication Data[J]. 现代图书情报技术, 2015, 31(5): 80-87.
[14] Hao Mei, Wang Daoping. Mining Customer Focus Features from Product Reviews Oriented Supply Chain[J]. 现代图书情报技术, 2014, 30(4): 65-70.
[15] Sun Hongfei, Hou Wei. Application of Improved TFIDF Algorithm in Mining Potential Cooperation Relationship[J]. 现代图书情报技术, 2014, 30(10): 84-92.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn