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Published in VLDB Workshop (Proceedings of the VLDB Endowment, ISSN 2150-8097), 2025
This paper proposes a framework for identifying the intent behind data errors, advancing the understanding of error provenance in data management.
Recommended citation: Abdelmaksoud, Mohamed, Konrad Rieck, and Ziawasch Abedjan. "Towards Identifying Intent of Data Errors." Proceedings of the VLDB Endowment. ISSN 2150-8097.
Published in IEEE International Conference on Data Engineering (ICDE), 2026
RAMSeS introduces a robust and adaptive framework for selecting the best anomaly detection algorithm for time-series data, improving detection reliability across diverse scenarios.
Recommended citation: Abdelmaksoud, Mohamed, Sheng Ding, Andrey Morozov, and Ziawasch Abedjan. "RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms." ICDE. 2026.
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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