چکیده مقاله
In the world of competition between companies, it is required to cluster the customers based on the behaviors and preferences and it is a critical strategic imperative in any company In this research, the well known methods of RFM and Clara clustering based on Manhattan and Euclidean measures are used to cluster the customers of GreenWeb company The results show the frequency of customers in some of the clusters are slightly equal whereas the number of clustering in each three methods are not equal
کلیدواژهها
نویسندگان
Mehdi Mohammadi
CEO of GreenWeb Co Mashhad, Iran
Mehdi Jabbari Noghabi
Department of Data Analysis & BI GreenWeb Co Mashhad, Iran, Department of Statistics Ferdowsi University of Mashhad Mashhad, Iran
Sanaz Nia
Department of Data Analysis & BI GreenWeb Co Mashhad, Iran
Rozhin Sharifi
Department of Data Analysis & BI GreenWeb Co Mashhad, Iran
Ameneh Mohammadi
Department of Data Analysis & BI GreenWeb Co Mashhad, Iran
شیوه ارجاع
Mohammadi, Mehdi and Jabbari Noghabi, Mehdi and Nia, Sanaz and Sharifi, Rozhin and Mohammadi, Ameneh,1403,Comparison of Two Customer Segmentation Methods (Case Study: Customer Data from GreenWeb Company),The 10th International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات دهمین کنفرانس بین المللی مهندسی صنایع و سیستم ها28 شهریور 1403 · مشهد