In the mining of association rules, the generation of frequent itemsets is a key factor that influence the efficiency and performance of the *** the increase of data dimension, it is obvious that the traditional assoc...
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In the mining of association rules, the generation of frequent itemsets is a key factor that influence the efficiency and performance of the *** the increase of data dimension, it is obvious that the traditional association rules mining algorithm can't meet the demand of high dimensional data *** the basis of apriori algorithm, we put forward Split Mtrixpriori algorithm in this *** generating the Boolean matrix of the database, Split Mtrixpriori algorithm decreased the times of scanning database when generating the frequent *** adopting grouping processing strategy in the Boolean matrix, the algorithm can still keep high efficiency in dealing with high-dimensional *** Split Mtrixpriori improved the efficiency of association rule mining significantly.
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