Discovery of Motifs in Spatial-Time Series
c(
person("Amin", "Bazaz", email = "stmotif@eic.cefet-rj.br", role = c("aut", "cre")),
person("Heraldo", "Heraldo", role = c("aut")),
person("Eduardo", "Ogasawara", role = c("aut")))
Discovery of motifs in a dataset containing numeric values. A motif is a previously unknown subsequence of a time series with relevant number of occurrences. To discover motifs the Combined Series Approach [CSA] is used.
foreach, stats, ggplot2, reshape2, scales, grDevices, shiny
Amin Bazaz [aut, cre],
Heraldo Heraldo [aut],
Eduardo Ogasawara [aut]

c(
person("Amin", "Bazaz", role = c("aut"), comment = "Polytech'Montpellier"),
person("Heraldo", "Borges", email = "stmotif@eic.cefet-rj.br", role = c("aut", "cre"), comment = "CEFET/RJ"),
person("Eduardo", "Ogasawara", role = c("aut"), comment = "CEFET/RJ"))
Allows to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
Amin Bazaz [aut] (Polytech'Montpellier),
Heraldo Borges [aut, cre] (CEFET/RJ),
Eduardo Ogasawara [aut] (CEFET/RJ)

stats, ggplot2, reshape2, scales, grDevices, shiny

stats, ggplot2, reshape2, scales, grDevices, RColorBrewer,
shiny

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

c(
person("Heraldo", "Borges", email = "stmotif@eic.cefet-rj.br", role = c("aut", "cre"), comment = "CEFET/RJ"),
person("Amin", "Bazaz", role = c("aut"), comment = "Polytech'Montpellier"),
person("Luciana", "Escobar", role = c("aut"), comment = "CEFET/RJ"),
person("Esther", "Pacitti", role = c("aut"), comment = "CEFET/RJ"),
person("Eduardo", "Ogasawara", role = c("aut"), comment = "CEFET/RJ"))
Heraldo Borges [aut, cre] (CEFET/RJ),
Amin Bazaz [aut] (Polytech'Montpellier),
Luciana Escobar [aut] (CEFET/RJ),
Esther Pacitti [aut] (CEFET/RJ),
Eduardo Ogasawara [aut] (CEFET/RJ)