Comprehensive Data Corruption Identification Using Machine Learning Algorithms (PAACDA)

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Detalles Bibliográficos
Publicado en:	Turkish Journal of Computer and Mathematics Education vol. 15, no. 3 (2024), p. 144
Autor principal:	Vanitha, M
Otros Autores:	Maneesha, K, Sri, K Uma Renu, Nancy, K
Publicado:	Ninety Nine Publication
Materias:	Outliers (statistics) Data analysis Parameter identification Datasets Data processing Spatial data Technology assessment Clustering Unsupervised learning Damage detection Algorithms Deep learning Machine learning Accuracy Principal components analysis Identification Mathematics education Licenses Forests Open access
Acceso en línea:	Citation/Abstract Full Text - PDF
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