Adaptive data quality scoring operations framework using drift-aware mechanism for industrial applications

Author:

Bayram FirasORCID,Ahmed Bestoun S.ORCID,Hallin Erik

Funder

Knowledge Foundation

Publisher

Elsevier BV

Reference51 articles.

1. Concept drift detection in data stream mining: A literature review;Agrahari;J. King Saud Univ. Comput. Inf. Sci.,2022

2. Context-aware data quality assessment for big data;Ardagna;Future Gener. Comput. Syst.,2018

3. On warm-starting neural network training;Ash;Adv. Neural Inf. Process. Syst.,2020

4. Methodologies for data quality assessment and improvement;Batini;ACM Comput. Surv. (CSUR),2009

5. Bayram, F., Ahmed, B.S., Hallin, E., Engman, A., 2023a. DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. In: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. pp. 32–41.

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