M. Spiliopoulou and L. C. Faulstich, WUM: A tool for Web utilization analysis, Lecture Notes in Computer Science, p.1590, 1999.

T. Yan, M. Jacobsen, H. Garcia-molina, and U. Dayal, From user access patterns to dynamic hypertext linking, Proc. of the 5th Int. World Wide Web Conf. on Computer networks and ISDN systems, pp.1007-1014, 1996.

M. O.-r.-zaiane, J. Xin, and . Han, Discovering web access patterns and trends by applying olap and data mining technology on web logs, Proc. of the Advances in Digital Libraries Conf, pp.19-30, 1998.

E. Damiani, B. Oliboni, E. Quintarelli, and L. Tanca, Modeling users' navigation history, Workshop on Intelligent Techniques for Web Personalisation. (IJCAI01), 2001.

F. Masseglia, P. Poncelet, and R. Cicchetti, An efficient algorithm for web usage mining, Networking and Information Systems Journal, vol.2, pp.5-6, 1999.

A. Fu, M. Wong, S. Sze, W. Wong, and W. Yu, Finding Fuzzy Sets for the Mining of Fuzzy Association Rules for Numerical Attributes, Proc. of the 1st Int. Symp. on Intelligent Data Engineering and Learning, 1998.

C. M. Kuok, A. W. , .. Fu, and M. H. Wong, Mining Fuzzy Association Rules in Databases. SIGMOD Record, vol.27, pp.41-46, 1998.

R. Srikant and R. , Mining Quantitative Association Rules in Large Relational Tables, Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pp.1-12, 1996.

C. Fiot, A. Laurent, M. Teisseire, and . Speedy, Mini and Totally Fuzzy: Three Ways for Fuzzy Sequential Patterns Mining, 2005.
URL : https://hal.archives-ouvertes.fr/lirmm-00106685

R. Agrawal and R. Srikant, Mining Sequential Patterns, Proc. of the 11th Int. Conf. on Data Engineering, pp.3-14, 1995.

T. P. Hong, K. Y. Lin, and S. L. Wang, Mining Fuzzy Sequential Patterns from Multiple-Items Transactions, Proc. of the Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf, pp.1317-1321, 2001.

Y. Hu, R. Chen, G. Tzeng, and J. Shieh, A Fuzzy Data Mining Algorithm for Finding Sequential Patterns, Int. J. of Uncertainty Fuzziness Knowledge-Based Systems, vol.11, issue.2, pp.173-193, 2003.

I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools with Java Implementations, 2000.

A. Gyenesei and J. Teuhola, Multidimensional fuzzy partitioning of attribute ranges for mining quantitative data: Research articles, Int. J. Intell. Syst, vol.19, issue.11, pp.1111-1126, 2004.