Using incremental Web log mining to create adaptive web servers

International Journal on Digital Libraries

Volumn 5, Issue 2, 2005, Pages 133-150

  Kamdar, Tapan ^a   Joshi, Anupam ^a  

^a Baltimore County   (United States)

Author keywords

Data mining; E commerce; Fuzzy clustering; Personalization; Web mining

Indexed keywords

EID: 17444366921     PISSN: 14325012     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00799-003-0057-5     Document Type: Article

References (41)

1. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th VLDB conference, Santiago, Chile, month 1994, pp 487-499
2. Amazon, http://www.amazon.com
3. Armstrong R, Joachims D, Freitag T, Mitchell T (1995) Webwatcher: a learning apprentice for the World Wide Web. In: Proceedings of the AAAI spring symposium on information gathering from heterogeneous, distributed environments, Stanford, CA, March 1995, pp 6-13
4. Arocena G, Mendelz A (1998) Weboql: restructuring documents, databases, and web. In: Proceedings of the IEEE international conference on data engineering '98, location, month 1998. IEEE Press, New York
5. Bajcsy P, Ahuja N (1998) Location- and density-based hierarchical clustering using similarity analysis. IEEE Trans Patt Anal Mach Intell 20:1011-1015
6. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York
7. Buchner A, Mulvenna M (1998) Discovering internet market intelligence through online analytical web usage mining. SIGMOD Rec 27(4):54-61
8. Charikar M, Chekuri C, Feder T, Motwani R (1997) Incremental clustering and dynamic information retrieval. In: Proceedings of the 29th ACM symposium on theory of computing, location, month 1997, pp 626-635
9. Chen MS, Park J-S, Yu PS (1998) Efficient data mining for path traversal patterns. IEEE Trans Knowl Data Eng 10(2):209-221
10. Cooley R, Mobasher B, Srivastav J (1997) Web mining: information and pattern discovery on the World Wide Web. In: Proceedings of the IEEE international conference on tools with AI, Newport Beach, CA, month 1997, pp 558-567
11. El Sonbaty Y, Ismail MA (1998) Fuzzy clustering for symbolic data. IEEE Trans Fuzzy Sys 6:195-204
12. Ester M, Kriegel HP, Sander J, Wimmer M, Xiaowei X (1998) Incremental clustering for mining in a data warehousing environment. In: Proceedings of the 24th international conference on very large data bases, New York, August 1998, pp 323-333
13. Firefly, http://www.firefly.com
14. Fisher DH (1987) Knowledge acquisition via incremental conceptual clustering. Mach Learn 2:pages
15. Fu KS (1982) Syntactic pattern recognition and applications. Academic, San Diego
16. Gowda KC, Diday E (1992) Symbolic clustering using a new similarity measure. IEEE Trans Sys Man Cybern 20:368-377
17. Guha S, Rastogi R, Shim K (1998) CURE: an efficient algorithm for large databases. In: Proceedings of SIGMOD '98, Seattle, June 1998, pp 73-84
18. Hathaway RJ, Bezdek JC (1993) Switching regression models and fuzzy clustering. IEEE Trans Fuzzy Sys 1(3):195-204
19. Joshi A, Krishnapuram R (1998) Robust fuzzy clustering methods to support web mining. In: Proceedings of the SIGMOD workshop on data mining and knowledge discovery, location, month 1998, 15:1-8
20. Joshi A, Jiang Z (2001) Retriever: improving web search engine results using clustering. In: Gangopadhyay A (ed) Business with electronic commerce: issues and trends. Idea Press
21. Joshi A, Weerawarana S, Houstis E (1997) On disconnected browsing of distributed information. In: Proceedings of the IEEE international workshop on research issues in data engineering (RIDE), Birmingham, UK, month 1997, pp 101-108
22. Joshi A, Punyapu C, Karnam P (1998) Personalization and asynchronicity to support mobile web access. In: Proceedings of the workshop on Web information and data management, 7th international conference on information and knowledge management, location, November 1998, pages
23. Joshi A, Joshi K, Krishnapuram R (1999) On mining web access logs. Technical report, CS Department, University of Maryland Baltimore County, Bethesda, MD
24. 1 norm, North Holland/Elsevier, Amsterdam, pp 405-416
25. Kaufman L, Rousseeuw PJ (1990) Finding groups in data: an introduction to cluster analysis. Wiley, Brussels, Belgium
26. Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Sys 1(2):98-110
27. Krishnapuram R, Joshi A, Nasraoui O, Yi L (2001) Low complexly fuzzy relational clustering algorithms for web mining. IEEE Trans Fuzzy Sys 9:pages
28. Nasraoui O, Frigui H, Joshi A, Krishnapuram R () Mining web access logs using relational competitive fuzzy clustering. In: Proceedings of the 8th international fuzzy systems association world congress, location, August 1999, pages
29. Ng RT, Han J (1994) Efficient and effective clustering methods for spatial data mining. In: Proceedings of the 20th conference on very large data bases, Santiago, Chile, September 1994, pp 144-155
30. Nottingham M (year) Follow: a session based log analyzing tool, http://www.pobox.com/~mnot/follow/
31. Perkowitz M, Etzioni O (1997) Adaptive web sites: an AI challenge. In: Proceedings of the international joint conference on AI - IJCAI97, location, month 1997, pages
32. Perkowitz M, Etzioni O (1998) Adaptive web sites: automatically synthesizing web pages. In: Proceedings of AAAI '98, location, month 1998, pages
33. Ramkumar GD, Swami A (1998) Clustering data without distance functions. Bull IEEE Comput Soc Tech Committee Data Eng 21:9-14
34. Shahabi C, Zarkesh A.M, Abidi J, Shah V, Sadri R (1999) Analysis and design of server informative www-sites. In: Proceedings of the ACM conference on information and knowledge management CIKM, Kansas City, month 1999, pages
35. Sneath PHA, Sokal RR (1973) Numerical taxonomy: the principles and practice of numerical classification. Freeman, San Francisco
36. Srivastava J, Cooley R, Deshpande M, Tan P-N (2000) Web usage mining: discovery and applications of usage patterns from Web data. SIGKDD Explorat 1(2):pages
37. Tan P-N, Kumar V (2002) Discovery of web robot sessions based on their navigational patterns. Data Min Knowl Discov 6(1):9-35
38. Terveen L, Hill W, Amento B (1997) PHOAKS - a system for sharing recommendations. Commun ACM 40(3):59-62
39. Zaiane O, Han J (1998) Webml: Querying the world-wide web for resources and knowledge. In: Proceedings of the workshop on Web information and data management, 7th international conference on information and knowledge management, location, month 1998, pages
40. Zaiane OR, Xin M, Han J (1998) Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs. In: Proceedings of the conference on advances in digital libraries (ADL'98), location, month 1998, pp 19-29
41. Zamir O, Etzioni O (1998) Web document clustering: a feasibility demonstration. In: Proceedings of SIGIR'98, Melbourne, Australia, August 1998, pp 46-54