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- W2364987105 abstract "By the study on Apriori algorithm and association rules mining algorithm based on linear linker,there are many deficiencies such as multiple scanning datas and generate a large number of candidate item sets,that counting time and memory space are increased.For the above,an association rules mining algorithm based on candidate items using the packet is proposed.There are two major improvements: ① All data only needed one scan;② The method which is candidate itemsets dividing into groups and counting and which dynamically created candidate itemsets availably improved the counting time,and made the efficiency of data mining better and faster.The experiments show that the algorithm is more efficient than the one in the literature [1]." @default.
- W2364987105 created "2016-06-24" @default.
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- W2364987105 date "2010-01-01" @default.
- W2364987105 modified "2023-09-23" @default.
- W2364987105 title "Improved association rules algorithm" @default.
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