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Applying Fuzzy Data Mining to Tourism Area

Applying Fuzzy Data Mining to Tourism Area

R. A. Carrasco, F. Araque, A. Salguero, M. A. Vila
Copyright: © 2008 |Pages: 22
ISBN13: 9781599048536|ISBN10: 1599048531|EISBN13: 9781599048543
DOI: 10.4018/978-1-59904-853-6.ch022
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MLA

Carrasco, R. A., et al. "Applying Fuzzy Data Mining to Tourism Area." Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, IGI Global, 2008, pp. 563-584. https://doi.org/10.4018/978-1-59904-853-6.ch022

APA

Carrasco, R. A., Araque, F., Salguero, A., & Vila, M. A. (2008). Applying Fuzzy Data Mining to Tourism Area. In J. Galindo (Ed.), Handbook of Research on Fuzzy Information Processing in Databases (pp. 563-584). IGI Global. https://doi.org/10.4018/978-1-59904-853-6.ch022

Chicago

Carrasco, R. A., et al. "Applying Fuzzy Data Mining to Tourism Area." In Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, 563-584. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-853-6.ch022

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Abstract

Soaring is a recreational activity and a competitive sport where individuals fly un-powered aircrafts known as gliders. The soaring location selection process depends on a number of factors, resulting in a complex decision-making task. In this chapter, we propose the use of an extension of the FSQL language for fuzzy queries as one of the techniques of data mining that can be used to solve the problem of offering a better place for soaring given the environmental conditions and customer characteristics. The FSQL language is an extension of the SQL language that permits us to write flexible conditions in our queries to a fuzzy or traditional database. After doing a process of clustering and characterization of a large customer database in a data warehouse, we are able of classify the next clients in a cluster and offer an answer according to it.

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