An Efficient Data Mining Technique for Generating Frequent Item sets

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Frequent item generation is a key approach in association rule mining. The Data mining is the process of generating frequent itemsets that satisfy minimum support. Efficient algorithms to the authors frequent patterns are crucial in data mining. Since the apriori algorithm was proposed to generate the frequent item sets, there have been several methods proposed to improve its performance. But they do not satisfy the time constraint. However, most still adopt its candidate set generation-and-test approach.

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