A process mining approach to analyse user behaviour

WEBIST 2008 - 4th International Conference on Web Information Systems and Technologies, Proceedings

Volumn 2, Issue , 2008, Pages 208-214

  Mǎruşter, Laura ^a   Faber, Niels R ^a   Jorna, René J ^a   Van Haren, Rob J F ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Decision support systems; Modelling user behaviour; Process mining; Web personalization

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; DECISION MAKING; DECISION THEORY; ELECTRONIC COMMERCE; GOVERNMENT DATA PROCESSING; INFORMATION SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; MINING; WORLD WIDE WEB;

COMBINING PROCESSES; CULTIVAR SELECTIONS; MODELLING USER BEHAVIOUR; NAVIGATIONAL PATTERNS; PERSONALIZATION; PROCESS MINING; USER GROUPS; WEB PERSONALIZATION;

DECISION SUPPORT SYSTEMS;

EID: 58049172941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. AGROBIOKON (2006). Optiras - rassenkeuze adviessysteem voor zetmeelaardappelen. http://optiras.agrobiokon.eu/.
2. Balajinah, B. and Raghavan, S. (2001). Intrusion detection through learning behavior model. Computer Communication, 24:1202-1212.
3. Bollini, L. (2003). Web interface design based on cognitive maps: Generative dynamics in information architecture. The 6th Generative Art Conference - GA2003.
4. Chang, S. E., Changchien, S. W., and Huang, R.-H. (2006). Assessing users' product-specific knowledge for personalization in electronic commerce. Expert systems with Applications, 30:682-693.
5. Ernst, N. A., Story, M.-A., and Allen, P. (2005). Cognitive support for ontology modeling. International Journal of Human-computer Studies, 62(5):553-577.
6. Faber, N., Jorna, R., van Haren, R., and Maruster, L. (2006). Knowledge and knoweldge use for sustainable innovation: the case of starch potato production. In Proceedings of ISMICK'06, Stellenbosch, South Africa.
7. Fountas, S., Wulfsohn, D., Blackmore, B., Jacobsen, H., and Pederson, S. (2006). A model of decision-making and informations flows for infomation-intensive agriculture. Agricultural Systems, 87:192-210.
8. Herder, E. (2002). Metrics for the adaptation of site structure. In Proc. of the German Workshop on Adaptivity and User Modeling in Interactive Systems ABIS'02, Hannover, pages 22-26.
9. Herder, E. and Juvina, I. (2005). Discovery of individual user navigation styles. In Proc. of the Workshop on Individual Differences - Adaptive Hypermedia, Eindhoven 2005.
10. Holsapple, C., W. A. (1988). Distributed Decision Making: A Research Agenda. ACM SIGOIS Bullentin.
11. Johnson, G., Halter, A., Jensen, H., and Thomas, D. (1961). A Study of Managerial Processes of Midwestern Farmers. Iowa State Press, Ames, Iowa.
12. Juvina, I. and Herder, E. (2005). Individual differences and behavioral aspects involved in modeling web navigation. In Proc. of User-centered interaction paradigms, volume LNCS 3196, pages 77-95. Springer.
13. Klein, M. and Methlie, L. (1995). Knowledge-based decision support systems: with applications in business. John Wiley & Sons, Chichester.
14. Lee, K and Lee, S. (2003). A cognitive map simulation approach to adjusting the design factors of the electronic commerce web sites. Expert Systems with Applications, 24:1-11.
15. Menasalvas, E., Millan, S., Perez, M., Hochsztain, E., Robles, V., Marban, O., a, J. P., and Tasistro, A. (2003). Beyond user clicks: an algoritm and an agent-based arhitecture to discover user behavior. In Proceedings of ECML/PKDD.
16. Mintzberg, H., Raisingham, D., and Thorêt, A. (1976). The structure of 'unstructured' decision process. Administrative Science Quarterly, 21:246-275.
17. Mobasher, B. (2006). The Adaptive Web: Methods and Strategies of Web Personalization, chapter Data Mining for Personalization. Berlin: Springer-Verlag.
18. Öhlmér, B., Olson, K., and Brehmer, B. (1998). Understanding farmers' decision making process and improving managerial assistance. Agricultural Economics, 18:273-290.
19. ProM (2007). The ProM framework. http://www.processmining.org.
20. Simon, H. (1977). The new science of management decision. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, revised edition.
21. Song, Q. and Shepperd, M. (2006). Mining web browsing patterns for e-commerce. Computers in Industry, 57:622-630.
22. Spiliopoulou, M. and Pohle, C. (2001). Data Mining to Measure and Improve the Success of web Sites. Data Mining and Knowledge Discovery, 5(1-2):85-114.
23. Turban, E. and Aronson, J. (2001). Decision Support Systems and Intelligent Systems. Prentice-Hall, Upper Saddle River, NJ.
24. van der Aalst, W., van Dongen, B., Herbst, J., Maruster, L., Schimm, G., and Weijters, A. (2003). Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering, 47(2):237-267.
25. van der Aalst, W. and Weijters, A. (2004). Process Mining, volume 53 of Special Issue in Computers in Industry. Elsevier Science Publishers,Amsterdam.
26. Weijters, A. and Aalst, W. (2003). Rediscovering workflow models from event-based data using Little Thumb. Integrated Computer-Aided Engineering, 10:151-162.
27. Weijters, A., van der Aalst, W., and de Medeiros, A. A. (2006). Process mining with the heuristics miner-algorithm. BETA Working Paper Series WP 166, Eindhoven University of Technology.