Sampling approaches to reduce very frequent seasonal time series
Afonso Baldo,
Paulo J. S. Ferreira,
João Mendes‐Moreira
Abstract:With technological advancements, much data is being captured by sensors, smartphones, wearable devices, and so forth. These vast datasets are stored in data centres and utilized to forge data‐driven models for the condition monitoring of infrastructures and systems through future data mining tasks. However, these datasets often surpass the processing capabilities of traditional information systems and methodologies due to their significant size. Additionally, not all samples within these datasets contribute va… Show more
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