TY  - JOUR
T1  - Smart Support System for Evaluating Clustering as a Service: Behaviour Segmentation Case
Study
AU - Galal, Mohamed AU - Salah, Tamer AU - Mahmoud Aref, Mostafa AU - Elgohary, Esam 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 3
SP  - 29
EP  - 33
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.29.33
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.29.33
KW  - Customer Segmentation
KW  -Hierarchical Clustering
KW  -Clustering as a Service (CaaS)
AB  - 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.
ER  -