Authors : Mohamed Galal, Tamer Salah, Mostafa Mahmoud Aref and Esam Elgohary
Abstract: Modern surveys reveal diminishing of sociodemographic segment descriptors and evolution of dramatic increase of online services and customers. These conditions attract both researchers and decision makers to enhance market segmenting to gain customer loyalty and prevent customer attrition. This research contributes in developing a minor expert system to automate the evaluation of clustering process to enhance the Clustering as a Service (CaaS) through customer behavior segmentation case study. It comes as a part of the software development process to develop intelligent Customer Loyalty Intelligent Personalization (CLIP) system. The proposed expert system system has successfully implemented and tested over four months. The used data is a real customer data, it consists of 1659 customers, 146 products and 5685 orders. The clustering is applied using the hierarchical clustering and it reached a good results with high efficiency.
Mohamed Galal, Tamer Salah, Mostafa Mahmoud Aref and Esam Elgohary, 2021. Smart Support System for Evaluating Clustering as a Service: Behaviour Segmentation Case Study. International Journal of Soft Computing, 16: 29-33.