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- W2004112654 abstract "According to the features of sparse data source while mining association rules, the paper designs a special linked-list unit and two strategies to store data in matrix. A novel algorithm, called SMM (Sparse-Matrix Mining), is proposed to find large item sets from sparse matrix. SMM maps database into a binary sparse matrix and stores compressed data into a linked-list, from which to find large item sets. It uses less I/O and computational time in mining. Experiments show that SMM finds large item sets efficiently and is well scalable." @default.
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- W2004112654 date "2009-02-01" @default.
- W2004112654 modified "2023-09-26" @default.
- W2004112654 title "Finding Frequent Item Sets from Sparse Matrix" @default.
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- W2004112654 doi "https://doi.org/10.1109/icect.2009.69" @default.
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