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- W4386768659 abstract "In many applications the training data do not always contain sufficient information to produce high-quality decision rules for standard (end-to-end) rule mining algorithms, and human experts have to incorporate domain knowledge during rule induction in order to get meaningful results. In this work we present Fanglue, a home-grown system inside Alipay, for interactive decision rule crafting. Fanglue is a distributed in-memory system and is highly responsive when processing large-scale datasets. In addition, Fanglue extends the standard representation of a decision rule by introducing disjunctive clauses. Having disjunctive clauses can improve the coverage and robustness of a decision rule, especially for fraud prevention in Fintech applications." @default.
- W4386768659 created "2023-09-16" @default.
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- W4386768659 date "2023-08-01" @default.
- W4386768659 modified "2023-09-26" @default.
- W4386768659 title "Fanglue: An Interactive System for Decision Rule Crafting" @default.
- W4386768659 cites W1670263352 @default.
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- W4386768659 doi "https://doi.org/10.14778/3611540.3611621" @default.
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