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Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data). This work analyzes several aspects of the data generate...

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Detalles Bibliográficos
Autores principales: Nieto, Francisco Javier, Aguilera, Unai, López-de-Ipiña, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472945/
https://www.ncbi.nlm.nih.gov/pubmed/34577271
http://dx.doi.org/10.3390/s21186063