Time Series Analysis
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...
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| Формат: | Online |
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| Язык: | английский |
| Опубликовано: |
IntechOpen
2023
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| Предметы: | |
| Online-ссылка: | ONIX_20230215_9781803563060_364 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869531216710991872 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-97326 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-973262024-04-14T10:28:16Z Time Series Analysis Abdalla, Rifaat El-Diasty, Mohammed Kostogryzov, Andrey Makhutov, Nikolay Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation 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. 2023-02-15T14:57:57Z 2023-02-15T14:57:57Z 2023 book ONIX_20230215_9781803563060_364 9781803563060 9781803563053 9781803563077 https://directory.doabooks.org/handle/20.500.12854/97326 eng image/jpeg n/a https://www.intechopen.com/books/11505 https://mts.intechopen.com/storage/books/11505/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.100724 10.5772/intechopen.100724 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781803563060 9781803563053 9781803563077 IntechOpen 204 open access |
| spellingShingle | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation Time Series Analysis |
| title | Time Series Analysis |
| title_full | Time Series Analysis |
| title_fullStr | Time Series Analysis |
| title_full_unstemmed | Time Series Analysis |
| title_short | Time Series Analysis |
| title_sort | time series analysis |
| topic | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| topic_facet | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| url | ONIX_20230215_9781803563060_364 |