How to cite this paper
Bahadori, M., Harounabadi, A & Sadeghzadeh, M. (2013). Modeling user navigation behavior in web by colored Petri nets to determine the user's interest in recommending web pages.Management Science Letters , 3(1), 359-366.
Refrences
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Chen, P., Sun, C.H., & Yang, S.Y. (2008). Modeling and analysis the web structure using stochastic timed Petri nets. Journal of Software, 3(8), 19-26.
Deshpande, M., & Karypis, G. (2001). Selective Markov models for predicting web-wage accesses.ACM transactions on internet technology (TOIT), 4(2), 163-184.
Eirinaki, M., Vazirgiannis, M., & Kapogiannis, D. (2005). Web path recommendations based on page ranking and Markov models.7th annual ACM international workshop on web information and data management (WIDM), ISBN: 1-59593-194-5, 2-9.
Jensen, K. (1997). A brief introduction to colored Petri nets. Springer-Verlag London, the Third International Workshop on Tools and Algorithms for Construction and Analysis of Systems, ISBN. 3-540-62790-1, 203-208.
Jensen, K. (1980). A method to computer the descriptive power of the different types of Petri nets. Springer-Verlag, 88, 348-361.
Jensen, K. (1993). An Introduction to the Theoretical Aspects of Coloured Petri Nets. Springer- Verlag London, ISBN. 3-540-58043-3, 230-272.
Levene, M., & Loizou, G. (2003). Computing the entropy of user navigation in the Web. International Journal of Information Technology and Decision Making, 2, 459-476.
Li, J., & Zaïane, O. R. (2004). Combining usage, content, and structure data to improve website recommendation. 5th international conference on electronic commerce and web technologies (ECWeb),
305-315.
Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic Personalization Based on Web-Usage Mining. Communication of ACM, 43(8), 142-151.
Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000). Personalization on the Net using Web Mining: introduction. Communications of the ACM, 43(8), 122-125.
Spiliopoulou, M. (2000). Web Usage Mining For Web Site Evaluation Making A Site Better Fit Its Users. Communications of the ACM, 43(8), 127-134.
Sugiyama, K., Hatano, K., & Yoshikawa, M. (2004). Adaptive web search based on user profile constructed without any effort from users. World Wide Web Conference Series - WWW , 675-684.
Thangaraj, P., & Thangamani, C. (2011). Survey on web usage mining: Pattern discovery and applications. International Journal of Computer Science and Information Security, 9(10), 78-83.
Yang, S.Y., Chen, P.Z., & Sun, C.H. (2007). Using Petri Nets to enhance web usage mining. Acta polytechnica Hungarica, 4(3), 113-125.
Zhu, J., Hong, J., & Hughes, J.G. (2002). Using Markov Chains for Link Prediction in Adaptive Web sites. Springer, 2311, 60-73.
Chen, P., Sun, C.H., & Yang, S.Y. (2008). Modeling and analysis the web structure using stochastic timed Petri nets. Journal of Software, 3(8), 19-26.
Deshpande, M., & Karypis, G. (2001). Selective Markov models for predicting web-wage accesses.ACM transactions on internet technology (TOIT), 4(2), 163-184.
Eirinaki, M., Vazirgiannis, M., & Kapogiannis, D. (2005). Web path recommendations based on page ranking and Markov models.7th annual ACM international workshop on web information and data management (WIDM), ISBN: 1-59593-194-5, 2-9.
Jensen, K. (1997). A brief introduction to colored Petri nets. Springer-Verlag London, the Third International Workshop on Tools and Algorithms for Construction and Analysis of Systems, ISBN. 3-540-62790-1, 203-208.
Jensen, K. (1980). A method to computer the descriptive power of the different types of Petri nets. Springer-Verlag, 88, 348-361.
Jensen, K. (1993). An Introduction to the Theoretical Aspects of Coloured Petri Nets. Springer- Verlag London, ISBN. 3-540-58043-3, 230-272.
Levene, M., & Loizou, G. (2003). Computing the entropy of user navigation in the Web. International Journal of Information Technology and Decision Making, 2, 459-476.
Li, J., & Zaïane, O. R. (2004). Combining usage, content, and structure data to improve website recommendation. 5th international conference on electronic commerce and web technologies (ECWeb),
305-315.
Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic Personalization Based on Web-Usage Mining. Communication of ACM, 43(8), 142-151.
Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000). Personalization on the Net using Web Mining: introduction. Communications of the ACM, 43(8), 122-125.
Spiliopoulou, M. (2000). Web Usage Mining For Web Site Evaluation Making A Site Better Fit Its Users. Communications of the ACM, 43(8), 127-134.
Sugiyama, K., Hatano, K., & Yoshikawa, M. (2004). Adaptive web search based on user profile constructed without any effort from users. World Wide Web Conference Series - WWW , 675-684.
Thangaraj, P., & Thangamani, C. (2011). Survey on web usage mining: Pattern discovery and applications. International Journal of Computer Science and Information Security, 9(10), 78-83.
Yang, S.Y., Chen, P.Z., & Sun, C.H. (2007). Using Petri Nets to enhance web usage mining. Acta polytechnica Hungarica, 4(3), 113-125.
Zhu, J., Hong, J., & Hughes, J.G. (2002). Using Markov Chains for Link Prediction in Adaptive Web sites. Springer, 2311, 60-73.