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Proportional fault-tolerant data mining with applications to bioinformatics
The mining of frequent patterns in databases has been studied for several years, but few reports have discussed for fault-tolerant (FT) pattern mining. FT data mining is more suitable for extracting interesting information from real-world data that may be polluted by noise. In particular, the increa...
Autores principales: | Lee, Guanling, Peng, Sheng-Lung, Lin, Yuh-Tzu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087812/ https://www.ncbi.nlm.nih.gov/pubmed/32214877 http://dx.doi.org/10.1007/s10796-009-9158-z |
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