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Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application

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Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application

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dc.contributor.author Dogan, Onur es_ES
dc.contributor.author Bayo-Monton, Jose Luis es_ES
dc.contributor.author Fernández Llatas, Carlos es_ES
dc.contributor.author Oztaysi, Basar es_ES
dc.date.accessioned 2020-05-21T03:02:06Z
dc.date.available 2020-05-21T03:02:06Z
dc.date.issued 2019-01-29 es_ES
dc.identifier.uri http://hdl.handle.net/10251/143881
dc.description.abstract [EN] The study presents some results of customer paths¿ analysis in a shopping mall. Bluetooth-based technology is used to collect data. The event log containing spatiotemporal information is analyzed with process mining. Process mining is a technique that enables one to see the whole process contrary to data-centric methods. The use of process mining can provide a readily-understandable view of the customer paths. We installed iBeacon devices, a Bluetooth-based positioning system, in the shopping mall. During December 2017 and January and February 2018, close to 8000 customer data were captured. We aim to investigate customer behaviors regarding gender by using their paths. We can determine the gender of customers if they go to the men¿s bathroom or women¿s bathroom. Since the study has a comprehensive scope, we focused on male and female customers¿ behaviors. This study shows that male and female customers have different behaviors. Their duration and paths, in general, are not similar. In addition, the study shows that the process mining technique is a viable way to analyze customer behavior using Bluetooth-based technology. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Process mining es_ES
dc.subject Gender behavior es_ES
dc.subject Bluetooth es_ES
dc.subject Indoor locations es_ES
dc.subject Shopping mall es_ES
dc.title Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s19030557 es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Dogan, O.; Bayo-Monton, JL.; Fernández Llatas, C.; Oztaysi, B. (2019). Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application. Sensors. 19(3):1-20. https://doi.org/10.3390/s19030557 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s19030557 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 20 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 30699998 es_ES
dc.identifier.pmcid PMC6387088 es_ES
dc.relation.pasarela S\383932 es_ES
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