Article detail · 2019
Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application
- Year
- 2019
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue SENSORS
- Catalog match (ISSN) Sensors
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
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.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
53 citations
OpenAlex cited_by_count (cache / database)
21 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Process mining technology selection with spherical fuzzy AHP and sensitivity analysis 2021
- A Comprehensive Study of Machine Learning Methods on Diabetic Retinopathy Classification 2021
- Individual Behavior Modeling with Sensors Using Process Mining 2019
- Genders prediction from indoor customer paths by Levenshtein-based fuzzy kNN 2019
- Integration of Fuzzy AHP with Other FuzzyMulticriteria Methods: A State of the Art Survey 2020
- Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization 2020
- Process Mining Application for Analysis of Customer’s Different Visits in a Shopping Mall 2019
- A process-centric performance management in a call center 2023
- Discovering Customer Paths from Location Data with Process Mining 2020
- Process mining based on patient waiting time: an application in health processes 2022