Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/53694
Title: Using data mining to improve the public transport in Gran Canaria Island
Authors: Cristobal, Teresa
Lorenzo, Jose J. 
Garcia, Carmelo R. 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2015
Journal: Lecture Notes in Computer Science 
Conference: 15th International Conference on Computer Aided Systems Theory 
15th International Conference on Computer Aided Systems Theory, EUROCAST 2015 
Abstract: In this work Business Intelligence and Data Mining techniques have been used to extract useful knowledge for the main corporation of intercity public transportation on Gran Canaria island. The aim has been to find a pattern to predict the number of passengers who want to travel from one point to another. To achieve it, events files generated in the vehicles of the company and additional data have been used as information source: temporal (time of the trip, type of the day,month and season) and geographic and demographic (departure and destination bus stop, type of bus stop and zip codes of the origin and destination bus stop.
URI: http://hdl.handle.net/10553/53694
ISBN: 978-3-319-27339-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-27340-2_96
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2015. Lecture Notes in Computer Science, vol 9520. [ ISSN 0302-9743], v. 9520, p. 781-788. Springer, Cham
Appears in Collections:Actas de congresos
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