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- W2523406095 abstract "In this paper, Fuzzy concept hierarchies are used for multi-level association rule mining from large datasets via Attribute-Oriented Induction approach [1]. In this the process of fuzzy hierarchical induction approach is used and extends it with two new characteristics which improve applicability of the original approach in data mining. The proposed drilling-down approach of fuzzy induction model allows user to retrieve estimated explanations of the generated abstract concept. An application to discovery of multi-level association rules from environmental data stored in a Toxic Release Inventory is presented." @default.
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- W2523406095 date "2014-01-01" @default.
- W2523406095 modified "2023-09-24" @default.
- W2523406095 title "Discovering Multi-Level Association Rules using FuzzyHierarchies" @default.
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