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DATA MINING Assessing Loan Risks: A Data …

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A Case Study of Customer Relationship Management …

A Case Study of Customer Relationship Management using Data Mining Techniques B.Santhosh Kumar AP/Department of Computer Science & Engineering SNS College of Technology Coimbatore, S. India

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Cases (individuals within the population) that are in a cluster are close to the centroid. For example, segment demographic data into clusters and rank the probability that ... new customer. Predictive data mining techniques are useful to convert the meaningful data into knowledge. In this section, we discuss the predictive data mining ...

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Only through data mining techniques, it is possible to extract useful pattern and association from the customer data (5). Data mining techniques like clustering and associations can be used to find meaningful patterns for future predictions (6,7).Customer . ...

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months. A total of n = 2138, customer, were tested for observations which were then divided into k = 4 similar groups. The classification was based on nearest mean. ... Customer Segmentation Using Clustering and Data Mining Techniques . Kishana R. Kashwan, Member, IACSIT, and C. M. Velu ...

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Customer churn prediction - A case study in retail …

Customer churn prediction - A case study in retail banking ... logistic regression techniques and analyze the churning and nonchurning customers by using data from a consumer retail banking ...