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The document discusses data mining techniques for mining frequent patterns, associations, and correlations. It covers market basket analysis and describes various frequent itemset mining methods, including the Apriori algorithm, FP-Growth approach, and ECLAT algorithm. It also discusses ways to improve the efficiency of the Apriori algorithm, such as using hashing techniques, partitioning the database, and sampling. Finally, it introduces the FP-Growth approach which compresses the database into a frequent-

Author

KR Kumar Raja

Language

EN