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Exploring the use of topological data analysis to automatically detect data quality faults
Data quality problems may occur in various forms in structured and semi-structured data sources. This paper details an unsupervised method of analyzing data quality that is agnostic to the semantics of the data, the format of the encoding, or the internal structure of the dataset. A distance functio...
Autor principal: | Tudoreanu, M. Eduard |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760691/ https://www.ncbi.nlm.nih.gov/pubmed/36545477 http://dx.doi.org/10.3389/fdata.2022.931398 |
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