Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/42746
Title: Uso de big data para predecir riesgos en destinos turísticos
Author: Mejías Ríos, Alejandro
Tutor: Andrés Sanz, Humberto
Others: Universitat Oberta de Catalunya
Abstract: It is interesting to have tools that can predict, with the necessary anticipated time range, those problems to prevent the touroperators to offer services that will be cancelled or that provide a unpleasant experience to the clients that affect negatively the trust on the enterprise.
Keywords: big data
predictive analytics
tourism
Document type: info:eu-repo/semantics/bachelorThesis
Issue Date: Jun-2015
Publication license: http://creativecommons.org/licenses/by-nc-sa/3.0/es/  
Appears in Collections:Bachelor thesis, research projects, etc.

Files in This Item:
File Description SizeFormat 
alekmerTFG0615memoria.pdfMemoria del TFG1,18 MBAdobe PDFThumbnail
View/Open
alekmerTFC0615manual.pdfManual del producto del TFG806,07 kBAdobe PDFThumbnail
View/Open