Automatic data repair: Are we ready to deploy?
Data quality is paramount in today's data-driven world, especially in the era of generative AI.
Dirty data with errors and inconsistencies usually leads to flawed insights, unreliable …
Dirty data with errors and inconsistencies usually leads to flawed insights, unreliable …
Discovering Denial Constraints Based on Deep Reinforcement Learning
L Bian, W Yang, J Xu, Z Tan - Proceedings of the 33rd ACM International …, 2024 - dl.acm.org
Numerous algorithms have been proposed for discovering denial constraints (DCs), which
are essential and effective for maintaining data consistency. However, existing methods only …
are essential and effective for maintaining data consistency. However, existing methods only …
[КНИГА][B] Integrity Constraints on Rich Data Types
S Song, L Chen - 2023 - Springer
Data dependencies, such as functional dependencies (FDs), have been long recognized as
integrity constraints in databases [42]. They are firstly utilized in database design [3] …
integrity constraints in databases [42]. They are firstly utilized in database design [3] …
[ЦИТИРОВАНИЕ][C] Query Optimization mit Reinforcement Learning
G Spankus