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- W2376705655 abstract "An improved AprioriTid algorithm is presented,which avoids the shortcoming of AprioriTid algorithm in association rules mining.The basic idea of the algorithm is: When construct the k-Tid tables,the set is composed by all elements of candidate k-itemsets included in the current transaction item,it is certainly the subset of the current transaction item.If its norm is greater than k,then it will be stored in the k-Tid table,not all of candidate k-itemsets included in the current transaction item.Thus it certainly reduces the amount of scanning transactions when finding the k+1-large itemsets next time and optimizes the AprioriTid algorithm to some extent.By experiment in the Northwind dataset,it shows that the algorithm much effectively optimizes space complexity and time complexity." @default.
- W2376705655 created "2016-06-24" @default.
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- W2376705655 date "2009-01-01" @default.
- W2376705655 modified "2023-09-28" @default.
- W2376705655 title "Improvement of AprioriTid algorithm" @default.
- W2376705655 hasPublicationYear "2009" @default.
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