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- W2035804520 abstract "In the problem of mining classification rules, previous methods are too general or too over-fitting for a given dataset. In this paper, through analyzing the characteristics of concept lattice and indiscernible matrix, classification rule acquisition based on lattice was proposed. Our method includes two phase: (1) proposing incremental generating the nodes of lattice using indiscernible matrix. (2) Developing some theorems for pruning redundant rules quickly. It is shown by experimental results that our approach not only results in shorter execution times, but also avoids missing important rules than the generalization of previous known methods." @default.
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- W2035804520 date "2014-06-01" @default.
- W2035804520 modified "2023-09-27" @default.
- W2035804520 title "Class Association Rule Mining Based on Incremental Construction of Lattice" @default.
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- W2035804520 doi "https://doi.org/10.4028/www.scientific.net/amm.571-572.345" @default.
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