Hierarchical Clustering
Data Mining Applications in Telecommunications
Machine Learning
The Role of Machine Learning in Predictive Analytics
Predictive Analytics for Customer Segmentation
Data Mining Applications in Telecommunications 
1 Techniques Used
Clustering Algorithms: Techniques such as K-means and
hierarchical clustering are employed to group customers based on usage patterns and demographics
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Machine Learning K-Means
Clustering,
Hierarchical Clustering, Principal Component Analysis Reinforcement Learning Involves training an agent to make decisions by rewarding desired actions and penalizing undesired ones
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The Role of Machine Learning in Predictive Analytics Common algorithms include: Algorithm Description K-Means
Clustering A method to partition data into k distinct clusters based on similarity
...Hierarchical Clustering A method that builds a hierarchy of clusters for better data segmentation
...
Predictive Analytics for Customer Segmentation Predictive Analytics There are several methods used in predictive analytics for customer segmentation, including:
Clustering: A technique that groups customers based on similarities in their data
...Common algorithms include K-means,
hierarchical clustering, and DBSCAN
...
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