Advanced Data Preprocessing for Intersites Web Usage Mining

IEEE Intelligent Systems

Volumn 19, Issue 2, 2004, Pages 59-65

  Tanasa, Doru ^a   Trousse, Brigitte ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLEANING; DATA PREPROCESSING; DATA SUMMARIZATION; INTRANET;

DATA PROCESSING; ENGINEERING RESEARCH; HTML; INFORMATION MANAGEMENT; KNOWLEDGE BASED SYSTEMS; ONLINE SYSTEMS; SERVERS; WORLD WIDE WEB;

DATA MINING;

EID: 2142657868     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2004.1274912     Document Type: Article

References (11)

1. I. Turner, “The One-Stop Portal,” Line56, 8 Oct. 2002, www.line56.com/articles/default. asp?ArticleID=4075.
2. “Web Characterization Terminology & Definitions Sheet,” World Wide Web Consortium, 1999, www.w3.org/1999/05/WCA-terms.
3. T. Berners-Lee, R. Fielding, and L. Masinter, “Uniform Resource Identifiers (URI): Ge neric Syntax,” Network Working Group RFC 2396, Aug. 1998, www.rfc-editor.org/ rfc/ rfc2396.txt.
4. R. Cooley, Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data, PhD thesis, Dept. of Computer Science, Univ. of Minnesota, 2000.
5. “Nielsen//Netratings Expands Global Internet Index to 17 Countries,” Nielsen//NetRatings, 31 Oct. 2000; www.nielsen-netratings.com/pr/pr_001031.pdf.
6. C. Shahabi and F.B. Kashani, “A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking,” Proc. WEBKDD 2001: Mining Web Log Data across All Customers Touch Points, LNCS 2356, Springer-Verlag, 2002, pp. 113-144.
7. B. Berendt et al., “The Impact of Site Struc ture and User Environment on Session Recon struction in Web Usage Analysis,” Proc. WEBKDD 2002: Mining Web Data for Dis covery Usage Patterns and Profiles, LNCS 2703 Springer-Verlag, 2002, pp. 159-179.
8. R. Cooley, B. Mobasher, and J. Srivastava, “Data Preparation for Mining World Wide Web Browsing Patterns,” J. Knowledge and Information Systems, vol. 1, no. 1, 1999, pp. 5-32.
9. Y. Fu, K. Sandhu, and M. Shih, “A General ization-Based Approach to Clustering of Web Usage Sessions,” Proc. 1999 KDD Workshop Web Mining, LNCS 1836, Springer-Verlag, 2000, pp. 21-38.
10. M.S. Chen, J.S. Park, and P.S. Yu, “Data Min ing for Path Traversal Patterns in a Web Environment,” Proc. 16th Int'l Conf. Distributed Computing Systems (ICDCS 96), IEEE CS Press, 1996, pp. 385-392.
11. M. Arnoux et al., “Automatic Clustering for the Web Usage Mining,” Proc. 5th Int'l Work shop Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 03), Editura Mirton, 2003, pp. 54-66.