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- W2352748163 abstract "Multi-level association rule is the rule with the characteristics of concept hierarchies. It describes the associations among the data items at different abstract levels, and the associations at different levels have different meaning of guidance. However, all multi-level association rules under discussion at present are limited to mining associations among data items at the same level. Aimed at this issue, this paper gives expansion and refinement to the already existing FP-Tree algorithm, and actualizes the FP_-Tree* algorithm, which has the function of mining association rules among data items both at the same and different abstract levels, namely, cross-level association rules mining. Moreover, before actualizing the algorithm, this paper refines the existing data storage schema and presents a method of encoding the items as a sequence of letters, in combination with its characteristics, so as to simplify the mass data preprocessing." @default.
- W2352748163 created "2016-06-24" @default.
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- W2352748163 date "2006-01-01" @default.
- W2352748163 modified "2023-09-24" @default.
- W2352748163 title "Mining Cross-Level Association Rules Based on Multi-Dimensional Data Model" @default.
- W2352748163 hasPublicationYear "2006" @default.
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