2022
DOI: 10.1016/j.eswa.2021.116435
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Frequent pattern mining from multivariate time series data

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Cited by 7 publications
(1 citation statement)
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“…For example, Lu et al [43] processed event data in healthcare using frequent sequential patterns. Considering a healthcare case, Karaca et al [44] proposed frequent pattern mining for classification purposes. Multivariate time series can be converted to sequences by reducing the dimensionality, and the frequent patterns extracted from time series can reveal complex relations in healthcare.…”
Section: Data Analytic For Healthcare Cpsmentioning
confidence: 99%
“…For example, Lu et al [43] processed event data in healthcare using frequent sequential patterns. Considering a healthcare case, Karaca et al [44] proposed frequent pattern mining for classification purposes. Multivariate time series can be converted to sequences by reducing the dimensionality, and the frequent patterns extracted from time series can reveal complex relations in healthcare.…”
Section: Data Analytic For Healthcare Cpsmentioning
confidence: 99%