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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