Time Series Analysis
This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Sectio...
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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IntechOpen
2021
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20210420_9781789847796_2429 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869531180604325888 |
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| collection | Directory of Open Access Books |
| description | This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence. |
| format | Online |
| id | doab-20.500.12854ir-67070 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-670702024-04-04T14:41:20Z Time Series Analysis Ngan, Chun-Kit Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence. 2021-04-20T16:02:17Z 2021-04-20T16:02:17Z 2019 book ONIX_20210420_9781789847796_2429 9781789847796 9781789847789 9781789847864 https://directory.doabooks.org/handle/20.500.12854/67070 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/8362/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.78491 10.5772/intechopen.78491 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789847796 9781789847789 9781789847864 IntechOpen 130 open access |
| spellingShingle | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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 | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20210420_9781789847796_2429 |