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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/53694
DC FieldValueLanguage
dc.contributor.authorCristóbal, Teresaen_US
dc.contributor.authorLorenzo Navarro, José Javieren_US
dc.contributor.authorGarcia, Carmelo R.en_US
dc.contributor.otherLorenzo-Navarro, Javier-
dc.date.accessioned2019-02-04T17:48:53Z-
dc.date.available2019-02-04T17:48:53Z-
dc.date.issued2015en_US
dc.identifier.isbn978-3-319-27339-6en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/53694-
dc.description.abstractIn 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.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceComputer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science, v. 9520 LNCS, p. 781-788en_US
dc.subject120304 Inteligencia artificialen_US
dc.titleUsing data mining to improve the public transport in Gran Canaria Islanden_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference15th International Conference on Computer Aided Systems Theory, (EUROCAST 2015)-
dc.identifier.doi10.1007/978-3-319-27340-2_96en_US
dc.identifier.scopus84952359750-
dc.identifier.isi000376687100096-
dcterms.isPartOfComputer Aided Systems Theory - Eurocast 2015-
dcterms.sourceComputer Aided Systems Theory - Eurocast 2015[ISSN 0302-9743],v. 9520, p. 781-788-
dc.contributor.authorscopusid56495304700-
dc.contributor.authorscopusid57027158500-
dc.contributor.authorscopusid7401486323-
dc.description.lastpage788en_US
dc.description.firstpage781en_US
dc.relation.volume9520 LNCSen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.identifier.wosWOS:000376687100096-
dc.contributor.daisngid4451412-
dc.contributor.daisngid1190480-
dc.contributor.daisngid6622400-
dc.contributor.daisngid1412377-
dc.identifier.investigatorRIDL-1972-2014-
dc.identifier.externalWOS:000376687100096-
dc.identifier.eisbn978-3-319-27340-2-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Cristobal, T-
dc.contributor.wosstandardWOS:Lorenzo, JJ-
dc.contributor.wosstandardWOS:Garcia, CR-
dc.date.coverdateEnero 2015en_US
dc.identifier.conferenceidevents121563-
dc.identifier.ulpgcSíen_US
dc.description.sjr0,328
dc.description.sjrqQ3
dc.description.spiqQ1
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate08-02-2015-
crisitem.event.eventsenddate13-02-2015-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0003-1433-3730-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameGarcía Rodríguez, Carmelo Rubén-
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