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- W128153376 abstract "A classical limit of association rule at the decider’s point of view is in the combinatorial nature of the association rules, resulting in numerous rules. As the overall quality of an association rule set can be considered as insight of the studied domain given to the decider by the interpretation of the rules, too many rules can make an harder interpretation then a worse quality of the overall process. To get more readable rules and thus improve this global quality criterion, we apply techniques initially designed for redundancy reduction in functional dependencies sets to association rules. Although the two kinds of relations have different properties, this method allow very concise representations that are easily understood by the decider and can be further exploited for automatic reasoning. In this paper, we present this method, compare it to other approaches and apply it to synthetic datasets. We end with a discussion about the information loss resulted of the simplification." @default.
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- W128153376 date "2008-08-11" @default.
- W128153376 modified "2023-09-29" @default.
- W128153376 title "User-System Interaction for Redundancy-Free Knowledge Discovery in Data" @default.
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- W128153376 doi "https://doi.org/10.1007/978-3-540-78983-3_21" @default.
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