Abstract
Soaring is a recreational activity and competitive sport where individuals fly un-powered aircrafts known as gliders. Soaring place selection process depends on a number of factors, resulting in a complex decision-making task. In this paper, we propose the use of the dmFSQL language for fuzzy queries as one of the techniques of Data Mining, which can be used to solve the problem of offering the better place for soaring given the environment conditions and customer characteristics. After doing a process of clustering and characterization of a Customers Database in a Data Warehouse we are able of classify next customer in a cluster and offer an answer according it.
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References
Araque, F., Salguero, A., Abad-Grau, M.M.: Application of data warehouse and decision support system in Soaring site recommendation. In: Hitz, M., Sigala, M., Murphy, J. (eds.) Proceedings of the the Thirteenth Conference on Information and Communication Technologies in Tourism, ENTER 2006, pp. 308–319. Springer, Wien (2006)
Carrasco, R.A., Galindo, J., Vila, M.A., Medina, J.M.: Clustering and Fuzzy Classification in a Financial Data Mining Environment. In: 3rd International ICSC Symposium on Soft Computing, SOCO’99, Genova, Italy, June 1999, pp. 713–720 (1999)
Carrasco, R.A., Vila, M.A., Galindo, J.: Using dmFSQL for Financial Clustering. In: 7th International Conference on Enterprise Information Systems, ICEIS’2005, vol. II, Miami, USA, pp. 135–141 (2005)
Carrasco, R.A., Vila, M.A., Galindo, J.: FSQL: a Flexible Query Language for Data Mining. In: Piattini, M., Filipe, J., Braz, J. (eds.) Enterprise Information Systems IV, pp. 68–74. Kluwer Academic Publishers, Boston (2002)
Carrasco, R.A., Vila, M.A., Galindo, J., Cubero, J.C.: FSQL: a Tool for Obtaining Fuzzy Dependencies. In: 8th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU’2000, Madrid, Spain, July 2000, pp. 1916–1919 (2000)
Frawley, W.J., Piatetsky-Shapiro, G., Matheus, C.J.: Knowledge Discovery in Databases: An Overview. In: Piatetsky-Shapiro, G., Frawley, W.J. (eds.) Knowledge Discovery in Databases, pp. 1–31. The AAAI Press, Stanford (1991)
Delgado, M., Gómez-Skarmeta, A.F., Vila, A.: On the Use of Hierarchical Clustering, In Fuzzy Modelling. International Journal of Approximate Reasoning 14, 237–257 (1996)
Vila, M.A.: Nota sobre el cálculo de particiones óptimas obtenidas a partir de una clasificación con jerárquica. Actas de la XI Reunión Nacional de I.O., Sevilla, España (1979)
Benzécri, P., et al.: L’analyse des données; Tomo I: La Taxinomie; Tomo II: L’analyse des correspondences. Dunod, Paris (1976)
Carrasco, R.A., Vila, M.A., Araque, F., Salguero, A., Aguilar, M.Á.: dmFSQL: a Server for Data Mining. In: Workshop on Data Mining and Business Intelligence (DMBI2007) in conjunction with the 23rd International Conference on Data Engineering, ICDE’07, Istanbul, Turkey, April 15, 2007. IEEE (To appear 2007)
Carrasco, R.A., Vila, M.A., Araque, F.: dmFSQL: a Language for Data Mining. In: XVI Database and Experts Systems Aplications, DEXA, pp. 440–444. IEEE, Los Alamitos (2006)
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Salguero, A., Araque, F., Carrasco, R.A., Vila, M.A., Martínez, L. (2007). Applying Fuzzy Data Mining for Soaring Area Selection. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_72
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DOI: https://doi.org/10.1007/978-3-540-73007-1_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73006-4
Online ISBN: 978-3-540-73007-1
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