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Data Mining In Crm | |
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The CRM Strategy | |
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What Can Data Mining Do? | |
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The Data Mining Methodology | |
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Data Mining and Business Domain Expertise | |
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Summary | |
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An Overview Of Data Mining Techniques | |
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Supervised Modeling | |
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Unsupervised Modeling Techniques | |
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Machine Learning/Artificial Intelligence vs. Statistical Techniques | |
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Summary | |
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Data Mining Techniques For Segmentation | |
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Segmenting Customers with Data Mining Techniques | |
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Principal Components Analysis | |
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Clustering Techniques | |
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Examining and Evaluating the Cluster Solution | |
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Understanding the Clusters through Profiling | |
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Selecting the Optimal Cluster Solution | |
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Cluster Profiling and Scoring with Supervised Models | |
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An Introduction to Decision Tree Models | |
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Summary | |
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The Mining Data Mart | |
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Designing the Mining Data Mart | |
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The Time Frame Covered by the Mining Data Mart | |
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The Mining Data Mart for Retail Banking | |
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The Mining Data Mart for Mobile Telephony Consumer (Residential) Customers | |
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The Mining Data Mart for Retailers | |
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Summary | |
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Customer Segmentation | |
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An Introduction to Customer Segmentation | |
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Segmentation Types in Consumer Markets | |
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Segmentation in Business Markets | |
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A Guide for Behavioral Segmentation | |
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Segmentation Management Strategy | |
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A Guide for Value-Based Segmentation | |
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Designing Differentiated Strategies for the Value Segments | |
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Summary | |
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Segmentation Applications In Banking | |
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Segmentation for Credit Card Holders | |
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Segmentation in Retail Banking | |
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Segmentation Applications In Telecommunications | |
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Mobile Telephony | |
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The Fixed Telephony Case | |
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Summary | |
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Segmentation For Retailers | |
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Segmentation in the Retail Industry | |
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The RFM Analysis | |
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Grouping Customers According to the Products They Buy | |
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Summary | |
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Index | |