Process-centric customer analytics: Understanding visit purposes of predicted age groups with discovered paths

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dc.authorscopusid57202924825
dc.authorscopusid8572344300
dc.authorscopusid57204151458
dc.contributor.authorDoğan, Onur
dc.contributor.authorÖztayşi, Başar
dc.contributor.authorFernandez-Llatas, Carlos
dc.date.accessioned2022-02-15T16:57:34Z
dc.date.available2022-02-15T16:57:34Z
dc.date.issued2020
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractIn a general manner, customer relationship management engages in understanding customer needs and meet them. Most of the investments are either far from customer needs or based on a primitive data collection method. However, customers mainly do not behave with the same ideas to shop in the retail domain. Several studies aim to understand the visiting purposes of customers using various methods. This study seeks to uncover the visit purposes of customers from their paths. Due to customers' unpredictable moods and plenty of stores in the shopping mall, the discovered paths are usually too complicated to analyze. Process mining that can overcome this obstacle is a method that creates process flows from event logs in the databases. In this study, the visited stores were seen as an activity in a business process. PALIA, a discovery algorithm in process mining, was applied to find and cluster customer paths. This study contributes to the literature by examining customer needs from their indoor paths, which were created by the PALIA algorithm. It facilitates to analyze discrepancies among the visits for the same customer. Moreover, the discovered paths are considered according to the age groups predicted by Levenshtein fuzzy kNN (L-FkNN).en_US
dc.identifier.endpage165en_US
dc.identifier.issn1542-3980
dc.identifier.issn1542-3999
dc.identifier.issue1-2en_US
dc.identifier.scopus2-s2.0-85117374882en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage147en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/207
dc.identifier.volume35en_US
dc.identifier.wosWOS:000607198200009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherOld City Publishing Incen_US
dc.relation.journalJournal Of Multiple-Valued Logic And Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectProcess miningen_US
dc.subjectcustomer pathen_US
dc.subjectvisit purposeen_US
dc.subjectshopping mallen_US
dc.subjectPALIA suiteen_US
dc.subjectpath classificationen_US
dc.subjectBluetooth Trackingen_US
dc.subjectEnvironmenten_US
dc.subjectBehavioren_US
dc.subjectTechnologyen_US
dc.titleProcess-centric customer analytics: Understanding visit purposes of predicted age groups with discovered pathsen_US
dc.typeArticleen_US

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