Implementation of Applied Prediction with YSA for Data Groups with Association Rule
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Nowadays, increasing data sizes have grown at incredible levels. Many firms want to interpret their produced data and reach the useful information. In this study, by making customer basket analysis of a company operating in the retail sector, to organize suitable campaigns for the customers has been aimed and sales amounts of campaign items have been predicted before the campaign. The association rules for the items purchased by the customers has been obtained by using the Apriori algorithm. Sales amounts of associated items have been predicted with Artificial Neural Networks (ANN). For prediction process with ANN, MATLAB-NNTOOL toolbox has been used. With these prediction process, sales amounts of the campaign items offered to the customers have been determined and an idea about the success of campaign success has been obtained. In the study, 34 months sales data has been considered.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
Anahtar Kelimeler
Terms Data mining, Association rules, ANN, Apriori algorithm, R programing language, MATLAB
Kaynak
2017 International Artificial Intelligence and Data Processing Symposium (Idap)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
