Jose Borges, Web Usage Mining, VLMC, Markov Chains, Web Navigation Patterns

Jos+e Luís Cabral de Moura Borges

Email: jlborges @ fe . up . pt (without spaces)
Phone: +351 225 081 736
voip: +351 220 413 429

I am an auxiliar professor at FEUP in the University of Porto. I have a graduation in Mechanical Engineering (1990) and a M.S. in Electrical Engineering and Computer Science (1994) from FEUP. Also, I received a Ph.D. (2000) in Computer Science from UCL at the University of London.
My research interest are mainly Data Analysis, Data Mining, Web Usage Mining and Visualization.

Resources for classes

Estatística (statistics)
Extracção de Conhecimento (data mining)
SI (Information Systems)

Ph.D students

Luís Certo (co-supervised with Teresa Galvão) (PRODEI) A Visualization Framework For Urban Mobility Analysis
Pierre Polzin (co-supervised with António Coelho) (PRODEIG) A Methodology To Analyze Users' Access To Health Services And Competition Between Health Services Providers
António Corte-Real (PRODEIG) Modeling the Evolution of Douro Wine Quality
Fabrício Seperândio o (co-supervised with Bernardo Almada-Lobo e António Brito) (PRODEIG) Operating Room Scheduling via Simulation Optimization

Ongoing Porjects

Wine Studies
Student Groups Information Systems
An integrated framework for operating room capacity planning and scheduling
web usage mining methods

Publications
Operating room scheduling optimization

María Andrea Morteo Stocco ,Carlos Gomes, Fabricio Sperandio, Bernardo Almada-Lobo, António Carvalho Brito, José Borges, Oscar García, Gabriela Pavón, "Operating room assignment planning". 2nd International Research Symposium in Service Management, Porto, Portugal, Jan, 2011.
Andrea Morteo, Carlos Gomes, Fabrício Sperandio, Bernardo Almada-Lobo, António Carvalho Brito, José Borges. "Aplicação de simulação à análise da alocação de especialidades de um bloco operatório". 15º Congresso da Associação Portuguesa de Investigação Operacional, Coimbra, Portugal, Apr 2011.
María Andrea Morteo Stocco, Carlos Gomes, Fabricio Sperandio, António Carvalho Brito, Bernardo Almada-Lobo, José Borges. "Simulating a Portuguese Hospital Master Surgery Schedule". IEEE 1st International Conference on Serious Games and Applications for Health, 2011 (SeGAH 2011). Nov 2011, Braga, Portugal.
Carlos Gomes, Fabrício Sperandio, José Borges, Bernardo Almada-Lobo and António Brito, "A Decision Support System for Surgery Theatre Scheduling problems", Communications in Computer and Information Science, 221(4), 213-222, 2011.

Wine Studies

J. Borges, António Corte-Real, José António Sarsfield Cabral and Jones, Gregory V. Jones (2012). A new method to obtain a consensus ranking of a region's vintages quality. Journal of Wine Economics (accepted for publication).
J. Borges, António Corte-Real and José António Sarsfield Cabral. Combining Vintage Charts Ratings into a Consensual Quality Ranking. XXXIV World Congress of Wine and Wine (OIV2011). Porto, Portugal, 20-27 June 2011.

Methods for students' group formation

José Borges, Teresa Galvão Dias and João Falcão e Cunha, A new group-formation method for student projects, European Journal of Engineering Education, Vol. 34, No. 6, pp 573- 585, 2009.
João Falcão e Cunha, José Borges, Teresa Galvão Dias, Some Results from Managing the Process of Group Formation and Evaluation in Student Projects, Proceedings of the International Conference on Engineering Education (ICEE 2007), September 2007, Coimbra, Portugal

Web Usage Mining

J. Borges e Mark Levene, A Comparison of Scoring Metrics for Predicting the Next Navigation Step With Markov Model-Based Systems, International Journal of Information Technology & Decision Making, Vol. 9, No. 4, pp 547-573, 2010.
J. Borges. Methods for modelling and predicting user web navigation, in proceedings of the WTI 2008 workshop (Web and Text Intelligence 08).
J. Borges and M. Levene. Detecting Concept Drift in Web Usage Mining, in Proceedings of the Workshop on Web Mining and Web Usage Analysis (WebKDD 2008), 98-110.
J. Borges and M. Levene. Variable Length Markov Chains for Web Usage Mining, in Encyclopedia of Data Warehousing and Mining - 2nd Edition.
J. Borges and M. Levene. Mining Users' Web Navigation Patterns and Predicting Their Next Step, in Security Informatics and Terrorism: Patrolling the Web, NATO Science for Peace and Security Series: Information and Communication Security. Edited by: C.S. Gal, P.B. Kantor and B. Shapira. Volume 15, 45-55, 2008. Book web site.
J. Borges and M. Levene. Evaluating Variable Length Markov Chain Models for Analysis of User Web Navigation Sessions.IEEE Transactions on Knowledge and Data Engineering, Vol 19, Issue 4, pages 441--452, April 2007.
J. Borges and M. Levene. Testing the predictive power of variable history web usage. Soft Computing - A Fusion of Foundations, Methodologies and Applications, special issue on Web intelligence and change discovery Volume 11, Number 8 / June, 2007, pp 717-727.
J. Borges and M. Levene. Ranking pages by topology and popularity within web sites. World Wide Web Journal (2006) 9: 301â€“316.
J. Borges e Mark Levene, A Clustering-Based Approach for Modelling User Navigation With Increased Accuracy, in Proceedings of the Second International Workshop on Knowledge Discovery from Data Streams (IWKDDS) in conjunction with PKDD 2005, Porto, Portugal, Outubro, 2005. Presentation.
J. Borges and M. Levene. Generating Dynamic Higher-Order Markov Models in Web Usage Mining.in Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 05), LNAI 3721, pp 34-45. Porto, Portugal, Outubro, 2005. Presentation.
J. Borges and M. Levene. A dynamic clustering-based Markov model for web usage mining. cs.IR/0406032.
J. Borges and M. Levene. An average linear time algorithm for web data mining. International Journal of Information Technology and Decision Making, 3, (2004), 307-320.
M. Levene, J. Borges and G. Loizou. Zipf's law for web surfers. Knowledge and Information Systems an International Journal, Vol. 3, No. 1 (2001).
Ph.D. Dissertation:A Data Mining Model to Capture User Web Navigation Patterns. Department of Computer Science, University College London, London University, 2000. Supervised by Mark Levene (pdf version)
J. Borges and M. Levene. A Fine Grained Heuristic to Capture Web Navigation Patterns. SIGKDD Explorations, Volume2, Issue 1, pages 40-50, 2000. Slides of presentation given at the WWW9 workshop on Web Measurements, Metrics and Mathematical Models, Amsterdam, 2000.
J. Borges and M. Levene. A Heuristic to Capture Longer User Web Navigation Patterns. Proceedings of the 1st International Conference on Electronic Commerce and Web Technologies (EC-Web 2000), pages 155-164. September 4-6, 2000, London-Greenwich, United Kingdom.
J. Borges and M. Levene. Data Mining of User Navigation Patterns. Proceedings of the Workshop on Web Usage Analysis and User Profiling (WEBKDD'99), pages 31-36. August 15,1999, San Diego, CA. Extended version in Web Usage Mining and User Profiling, Brij Masand e Myra Spiliopoulou (Eds.), Springer, LNCS 1836, pp 92-111. series of Springer Verlag. You can download a copy of it: Data Mining of User Navigation Patterns.
J. Borges and M. Levene. Mining Association Rules in Hypertext Databases. Proceedings of the fourth International Conference on Knowledge Discovery and Data Mining (KDD98), pages 149-153. New York, USA, August 1998. An extended version available as Research Note RN/98/24, Department of Computer Science, University College London, March 1998.