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Analysis of Frequent Visitor Patterns in a Shopping Mall

  • Onur Dogan
  • Omer Faruk Gurcan
  • Basar OztaysiEmail author
  • Ugur Gokdere
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

Recent technological advances enabled companies to collect, store and process a large amount of data. Automated collection of human behavior is one of the recent developments in data collection field. Companies can analyze the behaviors of their customers and get insight into their needs by using automated collection technology. In this study, we analyze location-based services data collected from a major shopping mall in İstanbul. The data is composed of 293 locations and 12070 unique visitors. The results show the most frequent routes that users follow during different periods.

Keywords

Data mining Location based services Bluetooth Market basket analysis 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Onur Dogan
    • 1
  • Omer Faruk Gurcan
    • 1
  • Basar Oztaysi
    • 1
    Email author
  • Ugur Gokdere
    • 1
    • 2
  1. 1.Industrial Engineering Department, Management FacultyIstanbul Technical UniversityIstanbulTurkey
  2. 2.Blesh IncorporatedIstanbulTurkey

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