Active Learning for Data Quality Control: A Survey

Data quality plays a vital role in scientific research and decision-making across industries. Thus, it is crucial to incorporate the data quality control (DQC) process, which comprises various actions and operations to detect and correct data errors. The increasing adoption of machine learning (ML)...

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Bibliographic Details
Published in:ACM journal of data and information quality 2024-06, Vol.16 (2), p.1-45, Article 11
Main Authors: Li, Na, Qi, Yiyang, Li, Chaoran, Zhao, Zhiming
Format: Article
Language:English
Subjects:
Active learning settings
Computing methodologies
Data analytics
Data mining
Information systems
Online analytical processing
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