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- W2553648439 abstract "Stored data in database can hide some knowledge, which is interesting, useful to hidden knowledge discover. In this context, an algorithms number a frequent itemsets and association rules extraction were presented. Special feature of these algorithms is to generation a large number of rules, making their exploitation a difficult task. In this paper we will introduce a new algorithm for association rules extraction. Proposed solution is based on two points, namely: frequent itemset extraction, and from these, it extracts association rules." @default.
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- W2553648439 date "2016-08-18" @default.
- W2553648439 modified "2023-10-01" @default.
- W2553648439 title "EXTRACT: new extraction algorithm of association rules from frequent itemsets" @default.
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- W2553648439 doi "https://doi.org/10.5555/3192424.3192567" @default.
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