Time Series Analysis
New Insights
| dc.contributor.editor | Abdalla, Rifaat | |
| dc.contributor.editor | El-Diasty, Mohammed | |
| dc.contributor.editor | Kostogryzov, Andrey | |
| dc.contributor.editor | Makhutov, Nikolay | |
| dc.date.accessioned | 2023-02-15T14:57:57Z | |
| dc.date.available | 2023-02-15T14:57:57Z | |
| dc.date.issued | 2023 | |
| dc.identifier | ONIX_20230215_9781803563060_364 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/97326 | |
| dc.description.abstract | Time 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.language | English | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation | en_US |
| dc.subject.other | Computer science | |
| dc.title | Time Series Analysis | |
| dc.title.alternative | New Insights | |
| dc.type | book | |
| oapen.identifier.doi | 10.5772/intechopen.100724 | |
| oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
| oapen.relation.isbn | 9781803563060 | |
| oapen.relation.isbn | 9781803563053 | |
| oapen.relation.isbn | 9781803563077 | |
| oapen.imprint | IntechOpen | |
| oapen.pages | 204 |
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