Material de estudio

Artículos (generalmente en inglés) disponibles en el sitio web de la asignatura:

Tema 1.

• Kosala, R. and Blockeel, H. Web Mining Research: A Survey. ACM SIGKDD Explorations, Newsletter of the Special Interest Group on Knowledge Discovery and Data Mining. 2000.
• Chakrabarti, S. Data Mining for hypertext: a tutorial survey. ACM SIGKDD Explorations, Newsletter of the Special Interest Group on Knowledge Discovery and Data Mining, 2000. 
• Ricardo baeza-Yates. Excavando la web. El profesional de la información. v13, n1, 2004
• Bibliografía básica

Tema 2.

• Steve Lawrence and C. Lee Giles. Searching the World Wide Web. Science vol. 280, 1998.
• Nick Craswell, David Hawking and Stephen Robertson. Effective Site Finding using Link Anchor Information. Research and Development in Information Retrieval, SIGIR 2001.
• Dunja Mladenic. Text-Learning and Related Intelligent Agents: A survey. IEEE Intelligent Systems, 1999
• Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval. ACM Press. Addison Wesley, 1999
• Bibliografía básica

Tema 3.

• Marti A. Hearst. Untangling Text Data Mining. Proceedings of ACL'99: the 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland, June 20-26, 1999 (invited paper).
• Turmo, Jordi. Information Extraction, Multilinguality and Portability. Revista Iberoamericana de Inteligencia Artificial, N.22, vol. 5, Invierno 2003.
• Peñas, A., Verdejo, F. and Gonzalo, J. Terminology Retrieval: towards a synergy between thesaurus and free-text searching. In F.J. Garijo, J.C. Riquelme and M. Toro editors, Advances in Artificial Intelligence - IBERAMIA 2002, LNAI 2527, Lecture Notes in Computer Science. Springer-Verlag, 2002.

Tema 4.

• R. Cooley, B. Mobasher, and J. Srivastava. Web mining and Pattern Discovery on the World Wide Web. Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence, ICTAI, 1997
• J. Srivastava, R. Cooley, M. Deshpande, P. Tan. Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data, SIGKDD Explorations, 2000.
• B. Mobasher. Web Usage Mining and Personalization. Chapter in Practical Handbook of Internet Computing, Munindar P. Singh (ed.), CRC Press, 2004 
• Mike Perkowitz and Oren Etzioni. Adaptive Web Sites: an AI Challenge, IJCAI, 1997
• Thorsten Joachims, Dayne Freitag and Tom M. Mitchell.Web Watcher: A Tour Guide for the World Wide Web, IJCAI, 1997

Tema 5.

• Soumen Chakrabarti et al. Mining the Link Structure of the World Wide Web. Computer, volume 32, n.8, pp. 60-67, 1999.
• Ravi Kumar et al. The  Web as a Graph. Proc. 19th ACM SIGACT-SIGMOD-AIGART Symp. Principles of Database Systems, PODS, ACM Press, 2000.
• Broder et al. Graph Structure in the web. Proc.WWW9, 2000

Tema 6.

• M. Levene and A. Poulovassilis. Web Dynamics. Software Focus, 2, (2001), 60-67.
• Ricardo Baeza-Yates, Bárbara J. Poblete y Felipe Saint-Jean. Evolución de la Web Chilena. Centro de Investigación de la Web, 2003.
• Edward T. O'Neill, Brian F. Lavoie, Rick Bennett. Trends in the Evolution of the Public Web (1998 - 2002). D-Lib Magazine,Volume 9 Number 4, April 2003.
• Broder et al. Graph Structure in the web. Proc.WWW9, 2000.