Transcription of CUSTOMER DATA CLUSTERING USING D MINING …
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International Journal of Database Management Systems ( IJDMS ) , , November 2011 DOI: 1 CUSTOMER data CLUSTERING USING data MINING TECHNIQUE Dr. Sankar Rajagopal Enterprise DW/BI Consultant Tata Consultancy Services, Newark, DE, USA ABSTRACT: Classification and patterns extraction from CUSTOMER data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business process. Large companies are having huge volume of data but starving for knowledge. To overcome the organization current issue, the new breed of technique is required that has intelligence and capability to solve the knowledge scarcity and the technique is called data MINING .
clustering and segmentation are two of the most important techniques used in marketing and ... This study classifies existing customer cluster/segmentation
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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, Segmentation models and applications with R, MARKET SEGMENTATION REPORT