Transcription of ISSN: 1992-8645 CUSTOMER SEGMENTATION …
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Journal of Theoretical and Applied Information Technology31stAugust2015. 2005-2015 JATIT & LLS. All rights :1817-3195380 CUSTOMER SEGMENTATIONTHROUGHFUZZY C-MEANS AND FUZZY RFMMETHODNI PUTU PUTRI YULIARI1,I KETUT GEDE DARMA PUTRA2, NI KADEK DWI RUSJAYANTI3 Department Of Information Technology, Engineering Faculty in Udayana UniversityBukit Jimbaran, Bali, Indonesia,Telp. research aims for finding thepotential CUSTOMER usedata transaction. This causes, thecompany isdifficult to arrange customers who have high and low loyaltyandthis research have a application forcustomer SEGMENTATION to help analyzing transaction datawithFuzzy C-Meansfor clusteringand FuzzyRFMfor used to conduct this experiment are Microsoft SQL Server tosaving the database and Matlab as the tools.
customer segmentation to help analyzing transaction data with Fuzzy C-Means for clustering and Fuzzy RFM for identify the customers. Softwares used to conduct this ...
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Segmentation, Customer, Customer Segmentation with R, Customer Segmentation) Introduction, Profiling bank customers behaviour, Data Analytics: A Marketing Segmentation Case, Customer segmentation, Market Segmentation Using Kmeans, Market Segmentation Using K-Means, 447-2013 Multivariate Statistical Analysis, Segmentation and Classification, CUSTOMER DATA CLUSTERING USING D, Segmentation models and applications with R