Exploring User Behavior in Destination Websites: An Application of Web Mining Techniques

[1]  Wk Ching,et al.  Markov chains: models, algorithms and applications (2nd ed.) , 2013 .

[2]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[3]  José G. Dias,et al.  Latent class modeling of website users’ search patterns: Implications for online market segmentation , 2007 .

[4]  Haibin Liu,et al.  Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users' future requests , 2007, Data Knowl. Eng..

[5]  Helmut Schneider,et al.  Web site design benchmarking within industry groups , 2003, Internet Res..

[6]  D. Fesenmaier,et al.  Identifying the Success Factors of Web-Based Marketing Strategy: An Investigation of Convention and Visitors Bureaus in the United States , 2006 .

[7]  Paulo Rita.  Internet marketing destinations in the global tourism marketplace , 2000 .

[8]  Abhijit Biswas,et al.  The Internet's impact on marketing: Introduction to the JBR special issue on "Marketing on the web--behavioral, strategy and practices and public policy" , 2004 .

[9]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[10]  U. Gretzel,et al.  Searching for the Future: Challenges Faced by Destination Marketing Organizations , 2006 .

[11]  Wendy W. Moe,et al.  The Influence of Goal‐Directed and Experiential Activities on Online Flow Experiences , 2003 .

[12]  Tak Kuen Siu,et al.  Markov Chains: Models, Algorithms and Applications , 2006 .