publication . Preprint . 2008

Discovering More Accurate Frequent Web Usage Patterns

Bayir, Murat Ali; Toroslu, Ismail Hakki; Cosar, Ahmet; Fidan, Guven;
Open Access English
  • Published: 09 Apr 2008
Comment: 19 pages, 6 figures
free text keywords: Computer Science - Databases, Computer Science - Data Structures and Algorithms
Related Organizations
Download from
25 references, page 1 of 2

[1] Y. M. A. Nanopoulos, D. Katsaros. Effective prediction of web-user accesses: A data mining approach. In WEBKDD, 2001.

[2] R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In VLDB, pages 487-499, 1994.

[3] R. Agrawal and R. Srikant. Mining sequential patterns. In ICDE, pages 3-14, 1995.

[4] M. A. Bayir. A new reactive method for processing web usage data. Master's thesis, Middle East Technical University, 2006. [OpenAIRE]

[5] M. A. Bayir, I. H. Toroslu, and A. Cosar. A new approach for reactive web usage data processing. In ICDE Workshops, page 44, 2006. [OpenAIRE]

[6] R. Cooley, B. Mobasher, and J. Srivastava. Web mining: Information and pattern discovery on the world wide web. In ICTAI, pages 558-567, 1997.

[7] R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining world wide web browsing patterns. Knowl. Inf. Syst., 1(1):5-32, 1999.

[8] R. Cooley, P.-N. Tan, and J. Srivastava. Discovery of interesting usage patterns from web data. In WEBKDD, pages 163-182, 1999.

[9] E. Frias-Martinez and V. Karamcheti. A customizable behavior model for temporal prediction of web user sequences. In WEBKDD, pages 66-85, 2002.

[10] Y. Fu and M.-Y. Shih. A framework for personal web usage mining. In International Conference on Internet Computing, pages 595-600, 2002.

[11] W. Gaul and L. Schmidt-Thieme. Mining web navigation path fragments. In In Proceedings of the Workshop on Web Mining for E-Commerce, 2000.

[12] S. G u¨nd u¨z and M. T. O¨zsu. A web page prediction model based on click-stream tree representation of user behavior. In KDD, pages 535-540, 2003.

[13] P. P. J. E. Pitkow. Mining longest repeating subsequences to predict world wide web surfing. In USENIX, 1999.

[14] B. Mobasher, R. Cooley, and J. Srivastava. Automatic personalization based on web usage mining. Commun. ACM, 43(8):142-151, 2000. [OpenAIRE]

[15] B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Discovery and evaluation of aggregate usage profiles for web personalization. Data Min. Knowl. Discov., 6(1):61-82, 2002.

25 references, page 1 of 2
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue