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ORCIDSEA4DQ@ESEC/SIGSOFT FSE 2022: Singapore
- Phu Hong Nguyen, Sagar Sen, Maria Chiara Magnanini:
Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2022, Singapore, Singapore, 17 November 2022. ACM 2022, ISBN 978-1-4503-9459-8 - Andreas Metzger:
Data quality issues in online reinforcement learning for self-adaptive systems (keynote). 1 - Foutse Khomh:
Data quality and model under-specification issues (keynote). 2 - Jørgen Stang, Dirk Walther, Per Myrseth:
Data quality as a microservice: an ontology and rule based approach for quality assurance of sensor data in manufacturing machines. 3-9 - Muhammad Azmi Umer, Aditya Mathur, Muhammad Taha Jilani
:
Effect of time patterns in mining process invariants for industrial control systems: an experimental study. 10-17 - Valentina Golendukhina, Harald Foidl, Michael Felderer, Rudolf Ramler:
Preliminary findings on the occurrence and causes of data smells in a real-world business travel data processing pipeline. 18-21 - Maryna Waszak, Terje Moen, Sølve Eidnes, Alexander J. Stasik, Anders H. Hansen, Gregory Bouquet, Antoine Pultier, Xiang Ma, Idar Tørlen, Bjørn Henriksen, Arianeh Aamodt, Dumitru Roman:
Data quality issues for vibration sensors: a case study in ferrosilicon production. 22-23 - Dumitru Roman, Antoine Pultier, Xiang Ma, Ahmet Soylu, Alexander G. Ulyashin:
Data quality issues in solar panels installations: a case study. 24-25
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