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- W290640147 abstract "BOMO algorithm constructs conditional FP-Tree recursively so that it requires more memory and CPU resources. To solve this problem, an algorithm for mining N-most interesting itemsets based on COFI-Tree is presented. This algorithm adopts COFI-Tree. COFI-Tree doesn’t need to construct conditional FP-Tree recursively and there is only one COFI-Tree in memory at a time. Experiment shows that (1) the new algorithm based on COFI-tree performs faster than current best algorithm BOMO;(2) the algorithm has good performance for large data set, especially it shows the best when for k value is smaller than 4." @default.
- W290640147 created "2016-06-24" @default.
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- W290640147 date "2011-01-01" @default.
- W290640147 modified "2023-09-27" @default.
- W290640147 title "Improved Algorithm for Mining N-Most Interesting Itemsets" @default.
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- W290640147 doi "https://doi.org/10.1007/978-3-642-24282-3_25" @default.
- W290640147 hasPublicationYear "2011" @default.
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