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Different algorithms used to identify frequent itemsets

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Reference no: EM132449681

There are different algorithms used to identify frequent itemsets in order to perform association rule mining such as Apriori, FP Growth and Mafia Algorithm. All algorithms have distinct advantages and disadvantages and need to be chosen given a specific data analysis problem.

In your own words, explain the Apriori Algorithm and it's the approach.

What are the possible advantages and disadvantages of the Apriori Algorithm?

Reference no: EM132449681

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