Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Data mining is known as discovering knowledge from the database. From the abstracted patterns, decision-making can be done easily. Many of the problems will be predicted by taking some decisions using data mining. In this paper, enhanced Apriori algorithm is proposed which takes less scanning time. It is achieved by eliminating the redundant generation of sub-items during pruning the candidate item sets. Both traditional and enhanced Apriori algorithms are compared and analyzed in this paper.

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