To compress the frequent patterns, we propose to cluster frequent patterns with a tightness measure δ (called δ-cluster), and select a representative pattern ...
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A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent ...
To compress the frequent patterns, we propose to cluster frequent patterns with a tightness measure δ (called δ-cluster), and select a representative pattern ...
The performance study shows that the proposed depth first algorithm is efficient and scalable for mining frequent patterns, and is an order of magnitude ...
To compress the frequent patterns, we propose to cluster frequent patterns with a tightness measure δ (called δ-cluster), and select a representative pattern ...
This scheme, Frequent Pattern Compression (FPC) compresses individual cache lines on a word-by-word basis by storing common word patterns in a compressed format ...
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A general proposal for high-quality compression is to cluster frequent patterns according to certain simi- larity measure, and then select and output only a rep ...
The rationale behind the use of a compression- based methodology for frequent pattern discovery is to pro- duce a fewer number of highly interesting patterns ...
This scheme, Frequent Pattern Compression (FF'C) compresses individual cache lines on a word-by-word basis by storing common word patterns in a compressed ...