Clustering
Utilizing Customer Data for Predictions
Data Mining for Understanding Sales Performance
Data Mining for Fraud Detection Strategies
Data Mining Techniques for Quality Control
Data Mining Techniques for Legal Analysis
Data Mining for Improving Product Quality
Data Mining for Improving Organizational Effectiveness
Data Mining for Improving User Retention 
methods include: Technique Description Application in User Retention
Clustering Grouping similar data points to identify customer segments
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Utilizing Customer Data for Predictions Clustering: A technique that groups similar data points together to identify patterns and segments within the customer base
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Data Mining for Understanding Sales Performance Clustering: Groups similar data points together, allowing businesses to identify distinct customer groups with similar purchasing behaviors
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Data Mining for Fraud Detection Strategies Clustering: Clustering groups similar data points together
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Data Mining Techniques for Quality Control Clustering A technique used to group a set of objects in such a way that objects in the same group are more similar than those in other groups
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Data Mining Techniques for Legal Analysis Clustering A technique used to group a set of objects in such a way that objects in the same group are more similar than those in other groups
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Data Mining for Improving Product Quality Clustering: Grouping similar data points to identify patterns or segments
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Data Mining for Improving Organizational Effectiveness Clustering: Clustering groups a set of objects in such a way that objects in the same group are more similar than those in other groups
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Data Mining and Its Role in Decision Support Spam detection, credit scoring
Clustering Grouping a set of objects in such a way that objects in the same group are more similar than those in other groups
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Data Mining for Improving Customer Retention Technique Description Application
Clustering Grouping customers based on similar characteristics or behaviors
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