Data Mining Analysis and Clustering
VerifiedAdded on 2020/03/16
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AI Summary
This assignment delves into data mining concepts, focusing on association rule mining and hierarchical clustering. It analyzes example output from association rule generation, discussing the impact of confidence levels on rule selection. The assignment further explores hierarchical clustering visualized through a dendrogram, identifying three distinct customer clusters based on travel patterns. Finally, it proposes targeted marketing strategies for each cluster using data-driven insights.
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