RHPTree—Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining
Risk patterns are crucial in biomedical research and have served as an important factor in precision health and disease prevention. Despite recent development in parallel and high-performance computing, existing risk pattern mining methods still struggle with problems caused by large-scale datasets,...
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| Veröffentlicht in: | ACM transactions on knowledge discovery from data 2022-08, Vol.16 (4), p.1-33 |
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| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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