State of the art on quality control for data streams: a systematic literature review

DOI10.1016/j.cosrev.2023.100554OpenAlexW4366156363MaRDI QIDQ6158857

Samad Paydar, Mohammad Allahbakhsh, Behshid Behkamal, Elisa Bertino, Mostafa Mirzaie

Publication date: 20 June 2023

Published in: Computer Science Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cosrev.2023.100554

zbMATH Keywords

data qualitydata streamssystematic literature reviewquality framework

Mathematics Subject Classification ID

Research exposition (monographs, survey articles) pertaining to computer science (68-02) Computer science (68-XX)

Cites Work

• Data mining. Concepts and techniques
• Data quality. Concepts, methodologies and techniques.
• A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks
• LAD: localization anomaly detection for wireless sensor networks
• Iterative Filtering in Reputation Systems
• Data Mining
• Stream Data Mining: Algorithms and Their Probabilistic Properties

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