Mining Social Images to Analyze Routing Preferences in Tourist Areas

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dc.contributor.authorTorrisi, Alessandroen_US
dc.contributor.authorSignorello, Giovannien_US
dc.contributor.authorGallo, Giovannien_US
dc.contributor.authorSalvo, Maria Deen_US
dc.contributor.authorFarinella, Giovanni Mariaen_US
dc.contributor.editorA. Middel and K. Rink and G. H. Weberen_US
dc.date.accessioned2015-05-24T19:38:26Z
dc.date.available2015-05-24T19:38:26Z
dc.date.issued2015en_US
dc.description.abstractSocial media platforms provide a useful source of data for environmental planning. In the last years these data have been exploited to perform social behaviour analysis. This work uses the huge amount of georeferenced images publicly available on social media as a source of information to infer the behaviour of tourists. Visual analytic mapping tools combined with the Parzen-Rosenblatt non-parametric kernel density estimation give us visual clues to assess the attractiveness of tourist geographical areas. To investigate the preferred combinations of locations visited by the tourists within a time window of few days we propose to mine association rules using the Apriori algorithm. A prototype of an integrated system to visually perform the suggested analysis has been realized and the paper reports about some of case studies performed with it.en_US
dc.description.sectionheadersVisual Analytics and Image Analysisen_US
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)en_US
dc.identifier.doi10.2312/envirvis.20151093en_US
dc.identifier.pages61-65en_US
dc.identifier.urihttps://doi.org/10.2312/envirvis.20151093en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.4.2 [INFORMATION SYSTEMS APPLICATIONS]en_US
dc.subjectTypes of Systemsen_US
dc.subjectDecision support H.2.8 [DATABASE MANAGEMENT]en_US
dc.subjectDatabase Applicationsen_US
dc.subjectImage databasesen_US
dc.titleMining Social Images to Analyze Routing Preferences in Tourist Areasen_US
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