ISCI - Researchers

Researchers

Richard Weber

Name:	Richard Weber
Grade:	Ph.D. in Operations Research - University of Aachen.
Research Areas:	Methodological Tools, Energy, Production Management, Management in the Public Sector, Business Intelligence, Retail
Lines:	Data Mining, Operations Management, and Computational Intelligence.
Academic Level:	Degree in Mathematics - University of Aachen. Master in Operations Research - Technical University of Aachen. Ph.D. in Operations Research - University of Aachen.
Academic Hierarchy:	Associate Professor of the Industrial Engineering Department, University of Chile.
Type:	Associated Researchers
E-Mail:	rweber@dii.uchile.cl
Recommended Links:	http://www.dii.uchile.cl/~rweber/ http://pubsonline.informs.org http://ormstomorrow.informs.org/ http://www.tis.cl http://www.dii.uchile.cl/~ris http://www.ichio.cl
Publications:	Peters Georg, Richard Weber, 2012, Dynamic clustering with soft computing, WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY - 2 Issue: 3 - 226-236 Peters, G, Weber R., Nowatzke, R, 2012, Dynamic rough clustering and its applications, APPLIED SOFT COMPUTING - 12 Issue: 10 - 3193-3207 Maldonado S., Weber R., 2012, Modelos de selección de atributos, Ingeniería de Sistemas, vol XXVI, 49-70 Peters G, Weber R. “A class of dynamic rough partitive algorithms”. International Journal of Intelligent Systems, Vol.26 Issue 6, pp.540–554, 2011. Maldonado S, Weber R, Basak J. “Simultaneous feature selection and classification using kernel-penalized support vector machines”. Information Sciences, Vol.181 Issue 1, pp.115-128. 2011. Guajardo, J. A., Weber, R., Miranda, J. (2010) A model updating strategy for predicting time series with seasonal patterns. Applied Soft Computing, 10, 276–283. Weber, R. (2009) Dynamic Data Mining. Encyclopedia of Data Warehousing and Mining, 722-728. Peters, G., Weber, R. (2009) Intelligent Cluster Algorithms for Changing Data Structures. International Journal of Intelligent Defence Support Systems, 2(2), 105-119. L'Huillier, G., Weber, R., Figueroa, N. (2009) Online Phishing Classification Using Adversarial Data Mining and Signaling Games. KDD Workshop on CyberSecurity and Intelligence Informatics, 33-42. Maldonado, S., Weber, R. (2009) A Wrapper Method for Feature Selection using Support Vector Machines. Information Sciences: an International Journal, 179(13), 2208-2217. Peters, G., Weber, R. (2008) A Dynamic Approach to Rough Clustering. En Chan, C., Grzymala-Busse, J., Ziarko, W. (Eds.), Rough Sets and Current Trends in Computing, Springer-Verlag Berlin, Heidelberg, 379-388. Peters, G., Tagg, R., Weber, R. (2008) An Application of Rough Set Concepts to Workflow Management. In Wang, G. (et al) (Eds.), Rough Sets and Knowledge Technology, Springer-Verlag Berlin, Heidelberg, 715-722. Guajardo., J., Weber., R. (2008) Dynamic Data Mining for Improved Forecasting in Logistics and Supply Chain Management. In Haasis, H. et al (Eds), Dynamics in Logistics. Proceedings of the First International Conference, LDIC 2007, Springer, 55-61. Peters, G., Lampart, M., Weber, R. (2008) Evolutionary Rough k-Medoid Clustering. In Peters, J.F. & Skowron, A. (Eds.), Transactions on Rough Sets VIII LNCS 5084, Springer-Verlag/Heidelberg, Berlin, 289–306. Miranda, J., Rey, P., Sauré, A., Weber, R., Montecino, C., Mosquera, J. (2008) Sistema de gestión de personal para el canal de ventas de Metro S.A. Revista Ingeniería de Sistemas, 22(1), 5-30. Miranda, J., Montecino, C., Rey, P., Weber, R. & Mosquera, J. (2008) Sistemas avanzados de gestión para mejorar el servicio al cliente en las estaciones del Metro S.A. Trend Management, mayo/junio 2008, 10-16. Bravo, C., Lobato, J. L., Weber, R., L’Huillier, G. (2008) A Hybrid System for Probability Estimation in Multiclass Problems Combining SVMs and Neural Networks. Eighth International Conference on Hybrid Intelligent Systems. Aburto, L., Weber, R. (2007) A Sequential Hybrid Forecasting System for Demand Prediction. In Perner, P. (Ed.), Machine Learning and Data Mining in Pattern Recognition, Springer-Verlag Berlin, Heidelberg, 518-532. Weber, R., Aburto, L. (2007) Improved Supply Chain Management Based on Hybrid Demand Forecasts. Applied Soft Computing, 7(1), 136-144. Weber, R. (2007) Fuzzy Clustering in Dynamic Data Mining-Techniques and Applications. En Valente de Oliveira, J. y Pedrycz, W. (Eds), Advances in Fuzzy Clustering and Its Applications, John Wiley and Sons. 315-332. Crespo, F. & Weber, R. (2005) A Methodology for Dynamic Data Mining Based on Fuzzy Clustering. Fuzzy Sets and Systems, 150(2), 267-284. Velásquez, J. Weber, R. Yasuda, H. & Aoki, T. (2005) Acquisition and Maintenance of Knowledge For Online Navigation Suggestions. IEICE Transactions on Information and Systems, E88-D(5), 993-1003. Miranda, J. Montoya, R. & Weber, R. (2005) Linear Penalization Support Vector Machines for Feature Selection. In Pal, S. et al (Eds) Pattern Recognition and Machine Intelligence (serie LNCS, v.3776), 1ª Ed., Springer, New York, 188-192. Araya, S. Silva, M. & Weber, R. (2004) A Methodology For Web Usage Mining and Its Application to Target Group Identification. Fuzzy Sets and Systems, 148(1), 139-152. Aoki, T. Velásquez, J. Weber, R. & Yasuda, H. (2004) A New Similarity Measure to Understand Visitor Behavior in a Web Site. IEICE Transactions on Information and Systems, E87-D(2), 389-396. Bravo, C., Lobato, J. L., Weber, R., L’Huillier, G. () A Hybrid System for Probability Estimation in Multiclass Problems Combining SVMs and Neural Networks. Eighth International Conference on Hybrid Intelligent Systems,

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