Process mining application for analysis of customer’s different visits in a shopping mall

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dc.authorscopusid57202924825
dc.authorscopusid57204151458
dc.authorscopusid8572344300
dc.contributor.authorDoğan, Onur
dc.contributor.authorFernandez-Llatas, Carlos
dc.contributor.authorÖztayşi, Başar
dc.date.accessioned2022-02-15T16:57:33Z
dc.date.available2022-02-15T16:57:33Z
dc.date.issued2020
dc.departmentBakırçay Üniversitesien_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- -- 228529en_US
dc.description.abstractIndoor customers may have different purposes to visit a shopping mall. Understanding the visiting aims results in better customer relationship management. One of the ways to explain the customer purpose is to discover customer paths. Customers mainly visit stores related to their purposes. The main problem is to discover customer paths from paths. Since customers have changeable mood and there are many stores in a shopping mall, customer paths are generally too complex to evaluate. To overcome that problem, we use process mining technique. Process mining is a technique that has some algorithms to discover business processes from event logs in the databases. In this study, we consider the visited stores as an activity in a process. PALIA Suite, a process mining tool that includes several clustering methods for processes, is used to discover and cluster indoor customer paths to evaluate differences among the visits. © 2020, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-23756-1_20
dc.identifier.endpage159en_US
dc.identifier.isbn9783030237554
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85069444054en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage151en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-23756-1_20
dc.identifier.urihttps://hdl.handle.net/20.500.14034/202
dc.identifier.volume1029en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.journalAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCustomer pathen_US
dc.subjectPALIA suiteen_US
dc.subjectProcess miningen_US
dc.subjectShopping mallen_US
dc.subjectVisitsen_US
dc.subjectData miningen_US
dc.subjectDecision makingen_US
dc.subjectPublic relationsen_US
dc.subjectShopping centersen_US
dc.subjectBusiness Processen_US
dc.subjectClustering methodsen_US
dc.subjectCustomer pathen_US
dc.subjectCustomer relationship managementen_US
dc.subjectEvent logsen_US
dc.subjectPALIA suiteen_US
dc.subjectProcess miningen_US
dc.subjectVisitsen_US
dc.subjectSalesen_US
dc.titleProcess mining application for analysis of customer’s different visits in a shopping mallen_US
dc.typeConference Objecten_US

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