Intelligent web traffic mining and analysis

Journal of Network and Computer Applications

Volumn 28, Issue 2, 2005, Pages 147-165

  Wang, Xiaozhe ^a   Abraham, Ajith ^b   Smith, Kate A ^a  

^a MONASH UNIVERSITY   (Australia)

^b OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Fuzzy inference system; Self organizing map; Web traffic

Indexed keywords

DATA REDUCTION; FUZZY SETS; SERVERS; STATISTICAL METHODS; WORLD WIDE WEB;

FUZZY INFERENCE SYSTEM; SELF ORGANIZING MAP; WEB TRAFFIC MINING;

DATA MINING;

EID: 10844248429     PISSN: 10848045     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jnca.2004.01.006     Document Type: Article

References (50)

1. Levene M, Loizou G. Computing the entropy of user navigation in the web. Department of Computer Science, University College London, Report No. RN/99/42 1999;.
2. Brin S. Extracting patterns and relations from the world wide web. In Proceedings of WebDB Workshop at the 6th International Conference on Extending Database Technology 1998;(EDBT(98):1998.
3. Buchner AG, Mulvenna MD. Discovering behavioural patterns in internet log files: playing the Devil's advocate. In Proceedings of the 12th Biennial International Telecommunications Society Conference (ITS(98)), Stockholm, Sweden; 1998.
4. Buchner AG, Mulvenna MD, Anand SS, Hughes JG. An internet-enabled knowledge discovery process. In Proceedings of the 9th International Database Conference, Hong Kong 1999;1999:13-27.
5. Hastie T, Tibshirani R, Friedman J. The elements of statistical learning-data mining. In: Hastie T, Tibshirani R, Friedman J, editors. Inference and prediction. New York; Springer-Verlag; 2001.
6. Masseglia F, Poncelet M, Teisseire M. Using data mining techniques on web access logs to dynamically improve hypertext structure. ACM SigWeb Lett 1999;8(3):1-19.
7. Pohle C, Spihopoulou M, In Proceedings of the 4th International Conference (DaWaK(02) on Data Warehousing and Knowledge Discovery, Aix-en-Provence, France, September 4-6, vol. 2454.; 2002. pp. 83-93.
8. Pal SK, Talwar V, Mitra P. Web Mining in Soft Computing Framework; Relevance. State of the Art and Future Directions. IEEE Transaction on Neural Networks 2002;13(5):1163-77.
9. Zhang YQ, Lin TY. Computational web intelligence (CWI): synergy of computational intelligence and web technology. In Proceedings of 2002 World Congress on Computational Intelligence, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'02) Special Session on Computational Web Interlligence (CWI), Honolulu, Hawaii, USA, May 12-17; 2002.
10. Boley D, Gini ML, Gross R, Han EH, Hastings K, Karypis G, Kumar V, Mobasher B, Moore J. Document categorization and query generation on the world wide web using WebACE. J Artif Intell Rev 1999;13(5-6):365-91.
11. Pirolli P, Pitkow J, Rao R. Silk from a sow's ear: extracting usable structures from the web. In Proceedings of Conference on Human Factors in Computing Systems (CHI(96), Vancouver, British Columbia, Canada 1996;1996:118-25.
12. Masseglia F, Poncelet P, Cicchetti R. An efficient algorithm for web usage mining. J Networking Inf Syst (NIS) 1999;2(5-6):571-603.
13. Kitsuregawa M, Toyoda M, Pramudiono I. Web community mining and web log mining: commodity cluster based execution. In Proceedings of the 13th Australasian Database Conference (ADC(02), Melbourne, Australia 2002;5:3-10.
14. Lingras P. Rough set clustering for web mining. In Proceedings of 2002 World Congress on Computational Intelligence, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE(02) Special Session on Computational Web Intelligence (CWI), Honolulu, Hawaii, USA 2002;2002:1039-44.
15. Ng A, Smith KA. Web usage mining by a self-organizing map. In Proceedings of International Conference on Artificial Neural Networks In Engineering (ANNIE(00) Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems 2000;10:495-500.
16. Srivastava J, Cooley R, Deshpande M, Tan PN. Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explorations 2000;1(2):12-23.
17. Wang X, Abraham A, Smith KA. Web traffic mining using a concurrent neuro-fuzzy approach. In Proceedings of the 2nd International Conference on Hybrid Intelligent Systems, Computing Systems: Design, Management and Applications, Santiago, Chile 2002;2002:853-62.
18. Cheung D, Kao B, Lee J. Discovering user access patterns on the world wide web. In Proceedings of the 1st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD(97), vol. 10.; 1997. pp. 463-70.
19. Chang G, Healey MJ, McHugh JAM, Wang JTL. Web minig. In Mining the World Wide Web - An Information Search Approach, Dordetch: Kluwer; 2001.
20. Han J, Pei J, Yin Y. Mining frequent patterns without candidate generation. In Proceedings of the 2000 ACM-SIGMOD International Conference on Management of Data (SIGMOD(00), Dallas, TX, USA 2000;2000:1-12.
21. Jespersen SE, Thorhauge J, Pedersen TB. A hybrid approach to web usage mining. In Proceedings of the 4th International Conference (DaWaK(02) on Data Warehousing and Knowledge Discovery, Aix-en-Provence, France 2002;2002:73-82.
22. Mobasher B, Cooley R, Srivastava J. Creating adaptive web sites through usage-based clustering of URLs. In Proceedings of 1999 Workshop on Knowledge and Data Engineering Exchange, Chicago, Illinois, USA 1999; 1999:19-25.
23. Chi EH, Rosien A, Heer J. Lumberjack: intelligent discovery and analysis of web user traffic composition. In Proceedings of ACM-SIGKDD Workshop on Web Mining for Usage Patterns and User Profiles (WebKDD(02), Edmonton, Alberta, Canada 2002;2002:1-16.
24. Martin-Bautista MJ, Kraft DH, Vila MA, Chen J, Cruz J. User profiles and fuzzy logic in web retrieval. Springer J Soft Comput 2002;65(5):365-72.
25. Pazzani MJ, Billsus D. Learning and revising user profiles: the identification of interesting web sites. J Machine Learning 1997;27(3):313-31.
26. Joshi KP, Joshi A, Yesha Y, Krishnapuram R. Warehousing and mining web logs. In Proceedings of the 2nd ACM CIKM Workshop on Web Information and Data Management, Kansas City, Missouri, USA 1999; 1999:63-8.
27. Agrawal R, Srikant R. Fast algorithms for mining association rules. In Proceedings of the 20th International Conference on Very Large Databases, Santiago, Chile 1994;1994:487-99.
28. Krishnapuram R, Joshi A, Yi L. A fuzzy relative of the k-medoids algorithm with application to document and snippet clustering. In Proceedings of IEEE International Conference on Fuzzy Systems (FUZZIEEE(99), Seoul, Korea 1999;1999:1281-6.
29. Zaïane OR, Xin M, Han J. Discovering web access patterns and trends by applying OLAP and data mining technology on web logs. In Proceedings of Advances in Digital Libraries Conference, Santa, Barbara, California, USA 1998;1998:19-29.
30. Berkan RC, Trubatch SL. Fuzzy logic and hybrid approaches to web intelligence gathering and information management. In Proceedings of 2002 World Congress on Computational Intelligence, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE(02) Special Session on Computational Web Intelligence (CWI), Honolulu, Hawaii, USA 2002;2002:1033-8.
31. Chen PM, Kuo FC. An information retrieval system based on an user profile. J Syst Software 2000;54:3-8.
32. Zaïane OR. Building virtual web views. J Data Knowledge Engng 2001;39(2):143-63.
33. Spiliopoulou M, Faulstich LC. WUM: a web utilization miner. In Proceedings of Workshop on the Web and Data Bases (WebDB(98), Valencia, Spain 1998;1998:109-15.
34. Cooley R, Tan PN, Srivastava J. WebSIFT: the web site information filter system. In Proceedings of the Web Usage Analysis and User Profiling (WebKDD'99) Workshop on Web Mining, an Diego, CA, USA; 1999. pp. 163-82.
35. Perkowitz M, Etzioni O. Adaptive web sites: automatically synthesizing web pages. In Proceedings of the 15th National Conference on Artificial Intelligence and 20th Innovative Applications of Artificial Intelligence Conference (AAAI(98, IAAI(98), Madison, Wisconsin, USA 1998;1998:727-32.
36. Joachims T, Freitag D, Mitchell T. WebWatcher: a tour guide for the world wide web. In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI(97), Nagoya, Japan 1997;1997:770-5.
37. Kohonen T. The self-organizing maps. Proceedings of the IEEE, vol. 78.; 1990. pp. 1464-480.
38. Fu Y, Sandhu K, Shih MY. Clustering of web users based on access patterns. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD(99) Workshop on Web Mining, San Diego, CA, USA, vol. 5.; 1999. pp. 560-67.
39. Sugeno M. Industrial applications of fuzzy control. Amsterdam: Elsevier science; 1985.
40. Analog 2002. Website Log Analyser. At URL: http://www.analog.cx.
41. Server Usage Statistics, Monash University, Australia. At URL:http://www.monash.edu.au.
42. Abraham A. Neuro-fuzzy systems: state-of-the-art modeling techniques. In Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks (IWAIVN 2001), Granada, Spain 2001;2001:269-76.
43. Coenen F, Swinnen G, Vanhoof K, Wets G. A framework for self adaptive websites: tactical versus strategic changes. In Proceedings of Workshop on Webmining for E-commerce: challenges and opportunities (KDD(00), Boston, USA; 2000. pp. 75-81.
44. Aggarwal C, Wolf JL, Yu PS. Caching on the world wide web. IEEE Trans Knowledge Data Engng 1999;11(1):94-107.
45. Honkela T, Kaski S, Lagus K, Kohonen T. WEBSOM-Self Organizing Maps of Documents Collections. In Proceedings of Workshop on Self-Organizing Maps (WSOM(97), Espoo, Finland 1997;1997:310-5.
46. Kohonen T, Kaski S, Lagus K, Salojrvi J, Honkela J, Paatero V, Saarela A. Self organization of a massive documents collection. IEEE Trans Neural Networks 2000;11(3):574-85.
47. Eudaptics Software 2002. Viscovery SOMine. At URL URL.com.
48. R. Jang 1992. Neuro-Fuzzy Modeling: Architectures, Analyses and Applications. PhD Thesis, University of California, Berkeley, USA.
49. Cooley R, Mobasher B, Srivastava J. Web mining: information and pattern discovery on the world wide web. In Proceedings of the 9th IEEE International Conference on Tools with Artifical Intelligence (ICTAI(97), Newport Beach, CA 1997;1997:558-67.
50. Paliouras G, Papatheodorou C, Karkaletsis V, Spyropoulos CD. Clustering the users of large web sites into communities. In Proceedings of the 17th International Conference on Machine Learning (ICML(00), Stanford University, Standord, CA, USA 2000;2000:719-26.