Estimating Shopping Center Visitor Numbers Based on Various Environmental Indicators

Cagatay Ozdemir*, Sezi Cevik Onar, Selami Bagriyanik

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Özet

The value of data is gaining importance in recent years both in Turkey and globally through increase data production. As data began to gain importance, data mining began to change and evolve. With help of data mining, companies started to determine their customer management strategies based on intelligent data analysis. Literature reviews in this area show that many data analysis models studied in the field of customer management. When a more detailed literature review is made, it is observed that the number of sources where demand estimation and location analysis applied together with the machine learning algorithms is very low in all sectors and almost none in the shopping mall. Within the scope of this study, a new model has been developed by combining location analysis and demand forecasting models that will estimate the number of customers for shopping malls in order to overcome this deficiency in the literature. This model was strengthened with estimation algorithms and tested to generalize this model to all shopping malls. In this study conducted through a large-scale technology and communications services provider company, it was found that environmental factors had a significant effect on the number of customers going to shopping centers.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısıSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
YayınlayanSpringer
Sayfalar171-179
Sayfa sayısı9
ISBN (Basılı)9783030511555
DOI'lar
Yayın durumuYayınlandı - 2021
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Süre: 21 Tem 202023 Tem 2020

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1197 AISC
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot21/07/2023/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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