Performance Analysis of Association Rule Mining Algorithms

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
In recent years, data mining is an important aspect for generating association rules among the large number of itemsets. Association rule mining is the method for discovering interesting relations between variables in large databases. It is considered as one of the important tasks of data mining intended towards decision making. Several association rule mining algorithms have been proposed to generate association rules from the given dataset. The most common algorithms of association rule mining are apriori and FP-Growth.
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