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dc.contributor.editorAbdalla, Rifaat
dc.contributor.editorEl-Diasty, Mohammed
dc.contributor.editorKostogryzov, Andrey
dc.contributor.editorMakhutov, Nikolay
dc.date.accessioned2023-02-15T14:57:57Z
dc.date.available2023-02-15T14:57:57Z
dc.date.issued2023
dc.identifierONIX_20230215_9781803563060_364
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/97326
dc.description.abstractTime series data consist of a collection of observations obtained through repeated measurements over time. When the points are plotted on a graph, one of the axes is always time. Time series analysis is a specific way of analyzing a sequence of data points. Time series data are everywhere since time is a constituent of everything that is observable. As our world becomes increasingly digitized, sensors and systems are constantly emitting a relentless stream of time series data, which has numerous applications across various industries. The editors of this book are happy to provide the specialized reader community with this book as a modest contribution to this rapidly developing domain.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulationen_US
dc.subject.otherComputer science
dc.titleTime Series Analysis
dc.title.alternativeNew Insights
dc.typebook
oapen.identifier.doi10.5772/intechopen.100724
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781803563060
oapen.relation.isbn9781803563053
oapen.relation.isbn9781803563077
oapen.imprintIntechOpen
oapen.pages204


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