About this document
Association Rule and Frequent Pattern - Unit 6 by ae5504818 is a document available to read on EtoBox.
Association rule mining is a data mining technique used to discover patterns and relationships in large datasets, particularly in transaction databases. Key concepts include frequent itemsets, support, confidence, and algorithms like Apriori and FP-Growth, which help identify and generate association rules. This technique has various applications, including market basket analysis, fraud detection, and bioinformatics, providing valuable insights for decision-making.
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- ae5504818
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- EN