[1]
Dongshan Xing, Junyi Shen, Qinbao Song. Discovering Preferred Browsing Paths from Web Logs. Chiese Journal of Computers, Vol. 26, No. 11, Nov. 2003, pp.1518-1523.
Google Scholar
[2]
Xudong Yang. An Algorithm for Discovering Preferred Browsing Paths from Web Logs. Journal of Chongqing University of Technology( Natural Science), Vol. 26, No. 10, Oct. 2012, pp.82-88.
Google Scholar
[3]
Hongdan Chu, Suyun Jiao, Wei Ma. Mining User Traversal Interest Paths Algorithm. Computer Engineering and Applications, 2008, 44(35), pp.135-137.
Google Scholar
[4]
Yue He, Dayong Chen, Ge'er Teng. Research of User Preferred Browsing Paths Based on Web Data Mining. Computer Engineering and Applications,2012, 48(7), pp.106-108.
Google Scholar
[5]
Matthias Baumgarten, Alex G. Buchner, Sarabjot S. Anand, Maurice D. Mulvenna, and John G. Hughes. User-Driven Navigation Pattern Discovery from Internet Data. In Revised Papers from the International Workshop on Web Usage Analysis and User Profiling (WEBKDD'99), Springer-Verlag, London, UK, 1999, pp.74-91.
DOI: 10.1007/3-540-44934-5_5
Google Scholar
[6]
Jianhan Zhu, Jun Hong, and John G. Hughes. Using Markov Chains for Link Prediction in Adaptive Web Sites. In Proceedings of the First International Conference on Computing in an Imperfect World (Soft-Ware 2002), Springer-Verlag, London, UK, UK, 2002, pp.60-73.
DOI: 10.1007/3-540-46019-5_5
Google Scholar
[7]
F. Khalil, J. Li, and H. Wang. 2009. An integrated model for next page access prediction. International Journal of Knowledge and Web Intelligence, Volume 1, Issue 1/2, August 2009, pp.48-80.
DOI: 10.1504/ijkwi.2009.027925
Google Scholar
[8]
Yong Wang, Ruimin Shen. Improve the Organization of the Web-site by Mining Web-log. Computer Engineering, Vol. 30, No. 12, June 2004, pp.133-135.
Google Scholar