Shapelets have the advantage of combining a high predictive performance with an interpretable component-their shape. Currently, most shapelet ...
Jun 27, 2018 · We present a novel and scalable method for scanning time series and identifying discriminative patterns that are statistically significant.
Nevertheless, statistically significant shapelet mining is fundamentally underpowered because it does not account for redundant or structurally meaningless ( ...
This is the implementation of the method described in the ISMB 2018 paper “Association mapping in biomedical time series via statistically significant shapelet ...
Jul 12, 2018 · Results: We present a novel and scalable method for scanning time series and identifying discriminative patterns that are statistically ...
Association mapping in biomedical time series via statistically significant shapelet mining. https://doi.org/10.1093/bioinformatics/bty246 · Full text.
Association mapping in biomedical time series via statistically ...
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Most modern intensive care units record the physiological and vital signs of patients. These data can be used to extract signatures, commonly known as ...
Association Mapping in Biomedical Time Series via Statistically Significant Shapelet Mining (ISMB and Bioinformatics 2018)call_made more ...
One of its most important branches is Pattern Mining, that is finding groups of co- occuring elements in a collection of sets.
Association mapping in biomedical time series via statistically significant shapelet mining. C Bock, T Gumbsch, M Moor, B Rieck, D Roqueiro, K Borgwardt.