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- W1782641738 abstract "In this paper, we present a novel approach for finding association rules from locally frequent itemsets using rough set and boolean reasoning. The rules mined so are termed as local association rules. The efficacy of the proposed approach is established through experiment over retail dataset that contains retail market basket data from an anonymous Belgian retail store." @default.
- W1782641738 created "2016-06-24" @default.
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- W1782641738 date "2009-01-01" @default.
- W1782641738 modified "2023-09-26" @default.
- W1782641738 title "Mining Local Association Rules from Temporal Data Set" @default.
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- W1782641738 doi "https://doi.org/10.1007/978-3-642-11164-8_41" @default.
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