| Authors |
|
| Publication date |
2018
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| Book title |
IEEE 34th International Conference on Data Engineering
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| Book subtitle |
ICDE 2018 : proceedings : 16-19 April 2018, Paris, France
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| ISBN |
|
| ISBN (electronic) |
|
| Event |
IEEE 34th International Conference on Data Engineering
|
| Pages (from-to) |
1672
|
| Number of pages |
1
|
| Publisher |
Los Alamitos, CA: IEEE Computer Society
|
| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| Abstract |
This talk first shows how an in-database machine learning system has been realised by a seamless integration of MonetDB (an open-source analytical columnar DBMS) and TensorFlow (an open-source machine learning library). Then we show with an example application of entity linking using neural embeddings the potential of this integration.
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| Document type |
Conference contribution
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| Language |
English
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| Published at |
https://doi.org/10.1109/ICDE.2018.00208
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| Other links |
https://ivi.fnwi.uva.nl/isis/publications/2018/ZhangICDE2018
|
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