Abstract
Among the many mining algorithms of associations rules, Apriori Algorithm is a classical algorithm that has caused the most discussions; it can effectively carry out the mining association rules. With large database, the process of mining association rules is time consuming. The efficiency becomes crucial factor. Moreover, Apriori algorithm is improved by reducing the number of scanning data base. The proposed algorithm reduces the storage room, improves the competency of performance with negligible error of the algorithm. Finally, the improved Apriori algorithm can solve the problem of traditional Apriori algorithm. After analyzing the Apriori algorithm, this algorithm is incapable due to it scans the database several times. Based on the planning of getting to database once, a new recoverd algorithm formed on the Apriori is put forward in this paper. Experiments show that it can mostly adds computation competency, i.e. minimize the calculating time and space. This algorithm has been broadly used for Grocery rooms in customer consumer knowledge mining.
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