Distributed multi-label learning on Apache Spark
This thesis proposes a series of multi-label learning algorithms for classification and feature selection implemented on the Apache Spark distributed computing model. Five approaches for determining the optimal architecture to speed up multi-label learning methods are presented. These approaches r...
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| Format: | Others |
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VCU Scholars Compass
2019
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| Online Access: | https://scholarscompass.vcu.edu/etd/5775 https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=6886&context=etd |