Publications

International journals

5. Gaudioso, M. Montero, L. Talavera, F. Hernandez-del-Olmo. (2009). Supporting teachers in collaborative student modeling: a framework and an implementation. Expert System with Applications, 36, 2260-2265.

12. Talavera and J. Bejar (2001). Generality-based conceptual clustering with probabilistic concepts. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, no.2.

12. Talavera (2000). Dependency-based feature selection for clustering symbolic data. Intelligent Data Analysis, 4 (1), pp. 19-28.

Book chapters

5. Gaudioso and L. Talavera (2006). Data mining to suport tutoring in virtual learning communities: Experiences and challenges. In Data mining in e-learning, Advances in Management Information Series, vol. 4. C. Romero and S. Ventura, eds., p. 207-226, WitPress.

International conferences, workshops and symposia

12. Talavera (2005). An evaluation of filter and wrapper methods for feature selection in categorical clustering. In Sixth International Symposium on Intelligent Data Analysis, IDA05. Pages 440-451. Madrid, Spain. A. F. Famili, J. N. Kok, J. M. Pena, A. Siebes and A. Feelders, eds. LNCS vol. 3646. Springer Verlag.

12. Talavera and E. Gaudioso (2004). Mining student data to characterize similar behavior groups in unstructured collaboration spaces. Workshop on Artificial Intelligence in CSCL. 16th European Conference on Artificial Intelligence, (ECAI 2004), 17-23.

12. Talavera (2000). Are cognitive principles useful in data mining? A case study in unsupervised learning. Learning‘00.

12. Talavera (2000). Feature selection and incremental learning of probabilistic concept hierarchies. Proceedings of the Seventeenth International Conference on Machine Learning, ICML2000. Morgan Kaufmann.

12. Talavera (2000). Dynamic Feature Selection in Incremental Hierarchical Clustering. Proceedings of the Eleventh European Conference on Machine Learning, ECML-2000. LNAI, Springer Verlag.

12. Talavera and J. Béjar (1999). Using multistrategy learning to scale up hierarchical clustering algorithms. In Second International Workshop on Extraction of Knowledge from Data Bases, EKDB99.

12. Talavera (1999). Feature Selection as Retrospective Pruning in Hierarchical Clustering . In Third International Symposium on Intelligent Data Analysis, IDA99. Pages 75-86, Amsterdam, The Netherlands. D. J. Hand, J. N. Kok and M. R. Berthold, eds. LNCS vol. 1642. Springer Verlag.

12. Talavera and J. Béjar (1999). Integrating Declarative Knowledge in Hierarchical Clustering Tasks . In Third International Symposium on Intelligent Data Analysis, IDA99. Pages 211-222, Amsterdam, The Netherlands. D. J. Hand, J. N. Kok and M. R. Berthold, eds. LNCS vol. 1642. Springer Verlag.

12. Talavera (1999). Feature selection as a preprocessing step for hierarchical clustering . In Proceedings of the 16th International Conference on Machine Learning, ICML-99. Pages 389-397, Bled, Slovenia. I. Bratko and S. Dzeroski, eds. Morgan Kaufmann.

12. Talavera (1999). Dependency-based dimensionality reduction for clustering symbolic data. In Workshop on Pre- and Post-Processing in Machine Learning and Data Mining: Theoretical Aspects and Applications. Advanced Course on Artificial Intelligence 1999 (ACAI99). (superceded by IDA journal paper)

12. Talavera (1999) Feature selection in conceptual clustering (short paper). In Advanced Course on Artificial Intelligence 1999 (ACAI99) Student Sessions.

12. Talavera and J. Béjar (1998). Efficient construction of comprehensible hierarchical clusterings. In 2nd European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD‘98. Pages 93-101. Nantes, France. J. M. Zytkow and M. Quafafou eds. LNAI vol. 1510, Springer Verlag. (A longer version in CCIA‘98 paper).

10. Roure and L. Talavera (1998). Robust incremental clustering with bad instance orderings: a new strategy. In Proceedings of the Sixth Iberoamerican Conference on Artificial Intelligence, IBERAMIA-98. Pages 136-147. Lisbon, Portugal. Helder Coelho ed., LNAI vol. 1484. Springer Verlag.

12. Talavera (1998). Exploring efficient attribute prediction in hierarchical clustering . In Proceedings of the Sixth Iberoamerican Conference on Artificial Intelligence, IBERAMIA-98. Pages 303-314. Lisbon, Portugal. Helder Coelho ed., Colibri.

12. Talavera and J. Roure (1998). A buffering strategy to avoid ordering effects in clustering. In Proceedings of the Tenth European Conference on Machine Learning, ECML-98. Pages 316-321. Chemnitz, Germany. Claire Nedellec and Celine Rouveirol, eds. LNAI vol. 1398, Springer Verlag.

12. Talavera and U. Cortes (1997). Exploiting inductive bias shift in Knowledge Acquisition from ill-structured domains . Proceedings of the 10th European Workshop on Knowledge Acquisition, Modeling, and Management, EKAW‘97 Pages 377-382. Sant Feliu de Guixols, Catalonia, Spain. E. Plaza and R. Benjamins eds. LNAI, vol. 1319. Springer Verlag.

12. Talavera and U. Cortes (1997). Inductive hypothesis validation and bias selection in unsupervised learning. Proceedings of the 4th. European Symposium on the Validation and Verification of Knowledge Based Systems, EUROVAV-97. Pages 169-179. Leuven, Belgium. Jan Vanthienen and Frank van Harmelen eds.

12. Talavera and U. Cortes (1996). Generalización y atención selectiva para la formación de conceptos. In Memoria del V Congreso Iberoamericano de Inteligencia Artificial, IBERAMIA‘96. Pages 320-330, Cholula, Puebla, Mexico. Limusa, Mexico. In Spanish.

National conferences, workshops and symposia

12. Talavera, E. Gaudioso y Z. Hidalgo (2004). Experiencias en el uso de la minería de datos para el soporte a la tutorización de la enseñanza en Internet. IX Congreso Internacional de Informática Educativa, Madrid (In Spanish).

12. Talavera, E. Gaudioso (2001). Unsupervised discretization methods for model-based clustering. Proceedings of the Fourth Catalan Conference on Artificial Intelligence, CCIA01, Barcelona, Spain.

12. Talavera (1999). Experiments with Instance Selection in Incremental Conceptual Clustering. In Proceedings of the Second Catalan Conference on Artificial Intelligence, CCIA99.

12. Talavera and J. Béjar (1998). Efficient and comprehensible hierarchical clusterings. In Proceedings of the First Catalan Conference on Artificial Intelligence, CCIA98. Tarragona, Spain. ACIA Bulletin, no.14-15. Pages 273-281.

12. Talavera (1998). Dynamic local feature selection in incremental clustering. In Proceedings of the First Catalan Conference on Artificial Intelligence, CCIA98. Tarragona, Spain. ACIA Bulletin, no.14-15. Pages 282-290.

12. Talavera (1997). From unsupervised learning to data mining: linking cognition and data analysis. Proceedings of Jornades d’Intel.ligencia Artificial: Noves Tendències. Lleida, Catalonia, Spain. ACIA Bulletin, no.12. Pages 79-87.