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Mining Frequent Patterns and Associations by gihel53025 is a document available to read on EtoBox.

The document discusses mining frequent patterns, associations, and correlations in data mining, focusing on concepts like itemsets, support, and the Apriori algorithm. It explains the process of generating association rules and evaluating their metrics, such as support and confidence, while addressing the challenges of redundant and uninteresting rules. Additionally, it covers statistical independence and various measures for evaluating interestingness in association rules.

Author
gihel53025
Language
EN