1 |
Agrawal, R., and Srikant, R., 1994, Fast Algorithms for Mining Association Rules, Proceedings of the 20th VLDB Conference, Santiago, Chile, pp. 487-499.
|
2 |
Batista, P., and Silva, M. J., 2002, Mining Web Access Logs of an On-line Newspaper, Departamento de Informatica, Faculdade de Ciencias - Universidade de Lisboa, Portugal, pp. 1-8.
|
3 |
Berendt, B., 2002, Using site semantics to analyze, visualize, and support navigation, Data Mining and Knowledge Discovery, Vol. 6, No. 1, pp. 37-59.
DOI
ScienceOn
|
4 |
Britos, P., Martinelli, D., Merlino, H., and García-Martínez, R., 2007, Web Usage Mining Using Self Organized Maps International Journal of Computer Science and Network Security, Vol. 7, No. 6, pp 45-50.
|
5 |
Configuration file of W3C httpd, http://www.w3.org/Daemon/User/Config/ (1995).
|
6 |
Dai, H., and Mobasher, B., 2002, Using ontologies to discover domain-level web usage profiles, Proceedings of the 2nd Semantic Web Mining Workshop at ECML/PKDD, Helsinki, Finland. pp.1-17.
|
7 |
Fenstermacher, K., and Ginsburg, M., 2002, Mining client-side activity for personalization, Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems, pp. 205-212.
|
8 |
Fu, Y., Creado, M., and Ju, C., 2001, Reorganizing web sites based on user access patterns, Proceedings of the Tenth International Conference on Information and Knowledge Management, pp. 583-585.
|
9 |
Kim, H., and Chan, P., 2003, Learning implicit user interest hierarchy for context in personalization, Proceedings of the 2003 International Conference on Intelligent User Interfaces, pp. 101-108.
|
10 |
Kosala, R., and Blockeel, H., 2000, Web mining research: a survey, ACM SIGKDD Explorations Newsletter, Vol. 2, No. 1, pp. 1-15.
|
11 |
Lin, W., Alvarez, S., and Ruiz, C., 2002, Efficient adaptive-support association rule mining for recommender systems, Data Mining and Knowledge Discovery, Vol. 6, No. 1, pp. 83-105.
DOI
ScienceOn
|
12 |
Mobasher, B., Dai, H., and Tao, M., 2002, Discovery and evaluation of aggregate usage profiles for web personalization, Data Mining and Knowledge Discovery, Vol. 6, pp. 61-82.
DOI
ScienceOn
|
13 |
Moshaber, B., Cooley, R., and Srivastava, J., 2000, Automatic Personalization Based on Web Usage Mining, Communications of the ACM, Vol. 43, No. 8, pp 142-151.
DOI
|
14 |
Spiliopoulou, M., and Pohle, C., 2001, Data mining for measuring and improving the success of web sites, Data Mining and Knowledge Discovery, Vol. 5, No. 1-2, pp. 85-114.
DOI
ScienceOn
|
15 |
Srikant, R., and Yang, Y., 2001, Mining web logs to improve website organization, World Wide Web, pp. 430-437.
|
16 |
Srivastava, J., Cooley, R., Deshpande, M., and Tan, P.-N., 2000, Web usage mining: discovery and applications of usage patterns from web data, SIGKDD Explorations, Vol. 1, No. 2, pp. 12-23.
DOI
|
17 |
Xie, Y., and Phoha, V., 2001, Web user clustering from access log using belief function, Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), pp. 202-208.
|
18 |
W3C Extended Log File Format, 1996, http://www.w3.org/TR/WD-logfile.html.
|