Association rules mining on retail data
Yükleniyor...
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
İstanbul Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The development in information technologies, artificial intelligence, and data mining benefits people in many areas. With this development, data stacks are formed through the storage of ever-increasing data. Accessing useful information from the data heaps is a very difficult process. This has led to the emergence and development of the concept of data mining. In this study, the relationship between the categories of the products sold by a company in the retail sector operating in Turkey was analyzed using the Apriori algorithm, which is an algorithm used in data mining. In the application, one-day sales data of the company was used. The data obtained was provided to extract the association rules with the help of Python. In this way, the purchasing habits of customers were determined by finding meaningful relationships between products using association rules.
Açıklama
Anahtar Kelimeler
Apriori Algorithm, Association Rules Analysis, Data Mining
Kaynak
Ekoist-Journal Of Econometrics And Statistics
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
0
Sayı
37
Künye
Dağaslanı, H., & Deniz Başar, Ö. (2022). Association Rules Mining on Retail Data. EKOIST Journal of Econometrics and Statistics, 0(37), 199-211.
