Research

I am a member of the Computer Science Department (LSI) of the Technical University of Catalonia (UPC) since 1990. I obtained my PhD degree in 1995.

My research are integrated in the research lines of the Knowledge Engineering and Machine Learning Group (KEMLG)

I am a member of the Spanish Association for Artificial Intelligence (AEPIA)

My research interest are:

• Machine Learning
• Unsupervised learning (Conceptual clustering)
• Learning from temporal data (continuous industrial processes)
• Multistrategy learning
• Data Mining

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These are my PhD students ( In the Artificial Intelligence Ph.D. of UPC):

Juan Manuel Gimeno

Characterization of temporal sequences, characterizacion of predictive Knowledge, integration of CBR and inductive learning .

Luis Talavera.

Models for concept categorization, multistrategy leaning, data mining

Publications

• J. M. Gimeno, J. Béjar, M. Sánchez Nearest-Neighbours for Time Series  Applied intelligence January - February 2004, Volume 20 (Issue: 1)
• J. Baeza, D. Gabriel, J. Béjar, J. Lafuente Distributed control system based on agent architecture for wastewater treatment Computer-aided civil and infrastructure engineering 117 (02) 18-34. 2002
• L. Talavera, J. Béjar. Generality-based conceptual clustering with probabilistic concepts IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (2) 85-96. 2001.
• L. Talavera, J. Béjar (1998). Efficient construction of comprehensible hierarchical clusterings 2nd European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD'98
• J. M. Gimeno, J. Béjar, M. Sànchez, U. Cortés, I. Roda "Discovering and Modeling Process Change: An application to Industrial Processes". Proceedings of the 2nd International conference on Practical Applications of Knowledge Discovery and Data Mining, PADD '98.
• J. Béjar, U. Cortés Experiments with domain knowledge in unsupervised learning: using and revising theories . Computación y Sistemas. 1(3):136-143. 1998
• J. Béjar, U. Cortés, and M. Sànchez-Marrè. "Aprendizaje Automático". NOVÁTICA. 1998. ISBN 211-2124. Número Especial: Inteligencia Artificial
• J. Béjar, J. M. Gimeno, M. Sànchez, U. Corté, M. Poch "Applying Domain Knowledge to the discovery of Operating Situations in Wastewater Treatment Plants". IEEE Computer Society. Proceedings of IASTED International Conference on Intelligent Information Systems 1997 (IIS'97). pp 360--364
• J. M. Gimeno, M. Sànchez, J. Béjar, U. Cortés, I. Roda, M. Poch, J. Lafuente "Providing Wastewater Treatment Plants with Predictive Knowledge Based on Transition Networks". IEEE Computer Society. Proceedings of IASTED International Conference on Intelligent Information Systems 1997 (IIS'97). pp 355--359
• J. Béjar, U. Cortés, R. Sangüesa, M. Poch "Experiments with Domain Knowledge in Knowledge Discovery" Proceedings of the 1st International Conference on The Practical Aplication of Knowledge Discovery and Data Mining (PADD97). London (UK), pags 65-78. 1997
• R. Sangüesa, U. Cortés, J. Béjar, J. Girona "Causal Dependency Discovery with POSSCAUSE: an Application to Waste Water Treatment Plants" Proceedings of the 1st International Conference on The Practical Aplication of Knowledge Discovery and Data Mining (PADD97). London (UK), pags 199-214. 1997
• M. Sànchez-Marrè J. Béjar, U. Cortés, J. de Gràcia, J. Lafuente, and M. Poch, "Concept Formation in WWTP by Means of Classification Techniques: A Compared Study". Applied Intelligence 7, 147-165. 1997.
• J. Béjar, "Adquisición de Conocimiento en Dominios poco Estructurados". PhD thesis, Departament de Llenguatges i Sistemes Informàtics. Universitat Politècnica de Catalunya, 1995.
• J. Béjar, U. Cortés,and M. Domingo, ``Using domain theory to bias classification processes in ill-domains'', in proceedings of the IV congreso Iberoamericano de Inteligencia Artificial (IBERAMIA '94), pp. 187-197, 1994.
• J. Béjar, U. Cortés, M. Poch ``LINNEO: A classification methodology for ill-structured domains ''. Technical report LSI-93-22-R. Departament de Llenguatges i Sistemes Informatics (UPC), 1993.
• J. Béjar ``En busca del concepto perdido'' en Reportes del seminario de Inteligencia Artificial 92-93. Technical report LSI-93-12-T. , Departament de Llenguatges i Sistemes Informatics (UPC) 1993.
• J. Béjar, U. Cortés, ``LINNEO: Herramienta para la adquisición de conocimiento y generación de reglas de clasificación en dominios poco estructurados'', in Proceedings of the III Congreso Iberoamericano de Inteligencia Artificial (IBERAMIA 92), La Habana, Cuba. , pp. 471-482, 1992.