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Open AccessArticle

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

1
Department of Industrial Engineering, Istanbul Technical University, Istanbul 34367, Turkey
2
Instituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera S/N, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 557; https://doi.org/10.3390/s19030557
Received: 19 December 2018 / Revised: 14 January 2019 / Accepted: 26 January 2019 / Published: 29 January 2019
(This article belongs to the Special Issue Integrating Process Management Technology with Sensor Data)
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. View Full-Text
Keywords: process mining; gender behavior; Bluetooth; indoor locations; shopping mall process mining; gender behavior; Bluetooth; indoor locations; shopping mall
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Dogan, O.; Bayo-Monton, J.-L.; Fernandez-Llatas, C.; Oztaysi, B. Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application. Sensors 2019, 19, 557.

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Sensors, EISSN 1424-8220, Published by MDPI AG
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