Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion
Rapidly developing areas of information technology are generating massive amounts of data. Human errors, sensor failures, and other unforeseen circumstances unfortunately tend to undermine the quality and consistency of these datasets by introducing outliers -- data points that exhibit surprising be...
| Main Authors: | , , , |
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2016
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| Online Access: | http://hdl.handle.net/1721.1/101150 |