Conference paper Open Access
Unsupervised Anomaly Detection in Data Quality Control
Poon, Lex;
Farshidi, Siamak;
Li, Na;
Zhao, Zhiming
GeoJSON Export
{
"type": "FeatureCollection",
"features": []
}
35
46
views
downloads
| Views | 35 |
| Downloads | 46 |
| Data volume | 133.4 MB |
| Unique views | 28 |
| Unique downloads | 45 |
Indexed in
- Publication date:
- December 15, 2021
- DOI:
-
- Keyword(s):
- data quality unsupervised learning data quality control data quality assessment anomaly detection, automated data quality control
- Grants:
-
European Commission:
-
CLARIFY - CLoud ARtificial Intelligence For pathologY (860627)
-
Blue Cloud - Blue-Cloud: Piloting innovative services for Marine Research & the Blue Economy (862409)
-
ARTICONF - smART socIal media eCOsytstem in a blockchaiN Federated environment (825134)
- ENVRI-FAIR - ENVironmental Research Infrastructures building Fair services Accessible for society, Innovation and Research (824068)
-
CLARIFY - CLoud ARtificial Intelligence For pathologY (860627)
- Meeting:
- 7th International Workshop on Methods to Improve Big Data Science Projects (MIDP-2021), in IEEE BigData 2021 (MIDP-2021), Virtual, 15-18 Dec 2021
- License (for files):
- Creative Commons Attribution 4.0 International