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Showing 1 to 3 of 3 for “"discriminative pattern"”.
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DPLearn: an effective but concise learning framework based on discriminative patterns
Pattern-based classification was originally proposed to improve the accuracy using selected frequent patterns, where many efforts were paid to prune a huge number of non-discriminative frequent patterns. On the other hand, tree-based models have shown strong abilities on many learning tasks since …
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DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications
DSpace SAF Submission Ingestion Package generated from Vireo submission #10922 on 2017-08-10 at 13:43:26
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Mining sophisticated patterns for classification and correlation analysis
Pattern mining has been a hot issue since it was first proposed for market basket analysis. Even though pattern mining is one of the oldest topic in data mining domain, there are still many ongoing challenges to overcome on this subject since the scale of the data size is getting bigger and the …