The aims of this research was to identify prospective customers by conducting customer segmentation based on recency, frequency, monetary (RFM) values and demographic variables. step were selected the data normalized. normalized clustered using density spatial clustering applications with noise (DBSCAN) algorithm. k-dist graph utilized RStudio tools best for epsilon MinPts. outcome utilizing 0....

citizen relationship management is a novel approach for public sector and governmental organization to improve their services and to achieve citizen satisfaction. the main purpose of this study is to identify and prioritize customer segmentation in governmental organizations. for the reason, based on reviewing the literature, four group of psychological, demographic, behavioral, and situation f...

Many businesses have their own method of segmentation and customer evaluation to help them give the appropriate managerial attention each segment customer. This paper proposes a more refined objective decision-making support system module that allows full ranking customers. It offers several improvements advantages over state-of-the-art methods. The is based on criteria with quantitative values...

In the airline industry, data analysis and data mining are a prerequisite to push customer relationship management (CRM) ahead. Knowledge about data mining methods, marketing strategies and airline business processes has to be combined to successfully implement CRM. This paper is a case study and gives an overview about distinct issues, which have to be taken into account in order to provide a ...