DIFF: a relational interface for large-scale data explanation
A range of explanation engines assist data analysts by performing feature selection over increasingly high-volume and high-dimensional data, grouping and highlighting commonalities among data points. While useful in diverse tasks such as user behavior analytics, operational event processing, and roo...
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| Published in: | Proceedings of the VLDB Endowment 2018-12, Vol.12 (4), p.419-432 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
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