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- W2376552012 abstract "Finding association rules is one of the most popular problems in the field of data mining.Apriori is a well known algorithm for association rule mining.This process uses candidate generation and test method to find the itemsets that satisfy the minimum support threshold,but the process repeatedly scans the database and produces the plenty of candidates.Aiming at this insufficient of apriori algorithm,it proposes a new optimization algorithm called apriori-mend based on mixed structure optimization.Apriori-mend algorithm generates 2-items generation from optimizations,realizes transactions compression and so on.Apriori-mend uses hash structure to generate 1-items and 2-items,applies mixed structure optimization strategy to save time and space.The results show that apriori-mend algorithm is much faster than apriori algorithm." @default.
- W2376552012 created "2016-06-24" @default.
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- W2376552012 date "2011-01-01" @default.
- W2376552012 modified "2023-09-24" @default.
- W2376552012 title "An Apriori-Mend Algorithm Based on Mixed Structure Optimization Method" @default.
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