Scorpion: Explaining Away Outliers in Aggregate Queries
Database users commonly explore large data sets by running aggregate queries that project the data down to a smaller number of points and dimensions, and visualizing the results. Often, such visualizations will reveal outliers that correspond to errors or surprising features of the input data set. U...
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| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2014
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| Online Access: | http://hdl.handle.net/1721.1/89076 https://orcid.org/0000-0002-7470-3265 |