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230515 ||| eng |
| 020 |
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|a 9781803563060
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| 020 |
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|a 9781803563053
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| 020 |
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|a intechopen.100724
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| 020 |
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|a 9781803563077
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| 100 |
1 |
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|a Abdalla, Rifaat
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| 245 |
0 |
0 |
|a Time Series Analysis
|h Elektronische Ressource
|b New Insights
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| 260 |
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|b IntechOpen
|c 2023
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| 300 |
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|a 1 electronic resource (204 p.)
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| 653 |
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|a Computer modelling and simulation / bicssc
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| 653 |
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|a Computer science
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| 700 |
1 |
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|a El-Diasty, Mohammed
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| 700 |
1 |
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|a Kostogryzov, Andrey
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| 700 |
1 |
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|a Makhutov, Nikolay
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
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| 028 |
5 |
0 |
|a 10.5772/intechopen.100724
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| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/11505/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/97326
|z DOAB: description of the publication
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| 082 |
0 |
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|a 000
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| 520 |
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|a 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.
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