K-means Clustering
Artificial Intelligence
Data Mining for Understanding Purchase Behavior
Data Mining in Logistics
Data Mining Strategies for Small Businesses
Data Mining for Improving Online Sales
Data Mining Techniques for Supply Chain
Mining
Data Mining Techniques 
Clustering, Association Rule Learning Predictive Data Mining Uses historical data to predict future outcomes
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Artificial Intelligence 
K-Means Clustering Unsupervised Grouping similar data points
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Data Mining for Understanding Purchase Behavior 
Clustering Clustering involves grouping similar data points together
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Data Mining in Logistics 
Clustering: Clustering groups similar data points together
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Data Mining Strategies for Small Businesses 
K-means clustering, RFM analysis Market Basket Analysis Analyzing purchase patterns to identify associations between products
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Data Mining for Improving Online Sales 
Clustering: Clustering groups similar data points together
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Data Mining Techniques for Supply Chain 
Customer segmentation, fraud detection
Clustering The task of 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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Mining 
Spam detection, credit scoring
Clustering Grouping similar items together based on their characteristics
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Statistical Procedures 
Clustering: A technique used to group similar data points together based on their characteristics
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Anomaly Detection 
Clustering: Algorithms like
K-means or DBSCAN can be used to group similar data points and identify those that do not fit well within any cluster
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