Mauricio Alberto Valle Barra
Asistente
UNIVERSIDAD FINIS TERRAE
Santiago, Chile
My research lines can be summarized in the following kew words: Consumer data mining; Data mining and knowledge discovering; Supervised and unsupervised learning.
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Licenciado en Ciencias de la Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2000
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Magíster en Ingeniería Industrial, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2004
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Ph.D. Management, UNIVERSIDAD ADOLFO IBANEZ. Chile, 2012
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Ingeniero Civil Electrónico, PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO. Chile, 2001
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Auxiliar Full Time
UNIVERSIDAD DE VALPARAISO
Facultad de Ingeniería
Chile
2005 - 2015
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Asistente Full Time
UNIVERSIDAD FINIS TERRAE
Facultad de Economía y Negocios
Chile
2015 - A la fecha
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Consultor Independiente
Independiente
Chile
2005 - 2008
Selected projects in Industry:
2009 - 2011: Turnover prediction in Call Centers using Naive Bayesian Networks.
2011 - 2014: Modeling the customer purchase behavior in a large supermarket chain using transactional databases.
2012 - 2013: Data analysis modeling for mining exploration activities using Support Vector Machines.
2014 - 2015: Data analysis and modeling predictions for industrial fishing o shore using clustering and novelty detection algorithms.
Papers in Refereed Conference Proceedings
2019 - Valle, M.A., Ruz, G.A. Market Basket Analysis Using Boltzmann Machines.Presented at Artificial Neural Networks and Machine Learning – ICANN 2019. Lecture Notes in Computer Science, vol 11730. Springer, Cham. Munich, Germany, September 17-19, 2019.
2018 - Valle, M.A., Ruz, G.A., Rica, S. Transactional database analysis by discovering pairwise interactions strengths. Presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018, pp. 849-854
2017 - Valle, M. A., Ruz, G. A., Morrás, R.Market Basket Analysis Using Minimum Spanning Trees. Presented at the 4th European Network Intelligence Conference ENIC 2017: Network Intelligence Meets User Centered Social Media Networks, Duisburg, Germany, 11-12 September, 2017, pp. 155-167.
2016 - Valle, M. A., P\érez-Acosta, A. and Bueno, J.L.O. Apuestas a toda costa: Factores que influyen en el excesivo compromiso por apostar, presented at CLADEA 2016, XLI Annual Assembly, Medellín - Colombia, October 2-4, Track 2: Economy, paper nº170, pp. 51.
2016 - Masías V., Valle, M. A., Crespo, F. Housing Market Analysis using Machine Learning: A Case Study of Santiago, Chile, presented at International Conference for Modeling and Simulation in Engineering, Economics and Management - AMSE 2016, Santiago - Chile, January 20-22, pp. 6.
2016 - Valle, M. A., Ruz, G.A. Using Self-Organizing Maps to model turnover of Sales Agents in a Call Center as probabilities of state changes, presented at BAFI 2015, 50th Annual Assembly, Santiago - Chile, 14-16,
2015, pp. 42-43. $[$\href{http://www.gonzaloruz.com/GR/Publications_files/BAFI2015Ruz.pdf}{pdf}$]$.
2015 - Valle, M. A., Morrás R. Mental accounting in grocery settings: Evidence of slack account from the expected cost of the basket for unplanned purchases, presented at CLADEA 2015, XL Annual Assembly, Viña del Mar - Chile, September 6-8, Marketing Track, paper nº194.
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Premio Roberto Ovalle Aguirre
INSTITUTO DE INGENIEROS DE CHILE
Chile, 2001
El Premio “Roberto Ovalle Aguirre” se otorga a los alumnos egresados de las Escuelas de Ingeniería de las Universidades de Chile, P. U. Católica de Chile, U. de Concepción, U.T.F. Santa María, U. de Santiago de Chile, U. Diego Portales y U. Católica de Valparaíso, autores de los mejores proyectos finales o de títulos relacionados con la instalación o explotación de una industria relevante para el fomento de la economía nacional.
Market basket analysis using minimum spanning trees |
Methodology of analysis for networks structures of market baskets |
Data analysis and modeling predictions for industrial fishing offshore using clustering and novelty detection algorithms |
Data analysis modeling for mining exploration activities using Support Vector Machines. |
Turnover prediction in Call Centers using Naive Bayesian Network |
Scholarship for doctoral studies |