The 9th International Conference on Time Series and Forecasting
This proceeding in MDPI is a selection of papers presented at the 9th International Conference on Time Series and Forecasting. The main topics of this conference focus on the analysis and foundations of time series (a time series can be defined as a collection of observations of a variable recorded...
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| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20240704_9783036597300_18 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869519257214124032 |
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| collection | Directory of Open Access Books |
| description | This proceeding in MDPI is a selection of papers presented at the 9th International Conference on Time Series and Forecasting. The main topics of this conference focus on the analysis and foundations of time series (a time series can be defined as a collection of observations of a variable recorded sequentially over time). Time series and forecasting tools are used in many fields of science, with a particular focus on ITISE (as reflected in the papers in this proceedings) on econometrics, economics and marketing, forecasting in energy and economic indices, forecasting in meteorology, etc. ITISE 2024 aims to provide scientists, engineers, faculty, and students with a discussion forum for the latest ideas and findings in the areas of foundations, theory, models, and applications for interdisciplinary and multidisciplinary research, encompassing disciplines of computer science, mathematics, statistics, forecasting, econometrics, etc., in the field of time series analysis and forecasting. Therefore, ITISE 2024 solicits high-quality original research papers (including significant works in progress) on all aspects of time series analysis and forecasting to promote the generation and development of new computational techniques and methods in the field of time series analysis and forecasting. |
| format | Online |
| id | doab-20.500.12854ir-139222 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1392222024-07-04T09:29:16Z The 9th International Conference on Time Series and Forecasting Rojas, Ignacio Pomares, Hector Herrera, Luis Rojas, Fernando Valenzuela, Olga thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science This proceeding in MDPI is a selection of papers presented at the 9th International Conference on Time Series and Forecasting. The main topics of this conference focus on the analysis and foundations of time series (a time series can be defined as a collection of observations of a variable recorded sequentially over time). Time series and forecasting tools are used in many fields of science, with a particular focus on ITISE (as reflected in the papers in this proceedings) on econometrics, economics and marketing, forecasting in energy and economic indices, forecasting in meteorology, etc. ITISE 2024 aims to provide scientists, engineers, faculty, and students with a discussion forum for the latest ideas and findings in the areas of foundations, theory, models, and applications for interdisciplinary and multidisciplinary research, encompassing disciplines of computer science, mathematics, statistics, forecasting, econometrics, etc., in the field of time series analysis and forecasting. Therefore, ITISE 2024 solicits high-quality original research papers (including significant works in progress) on all aspects of time series analysis and forecasting to promote the generation and development of new computational techniques and methods in the field of time series analysis and forecasting. 2024-07-04T09:29:13Z 2024-07-04T09:29:13Z 2024 book ONIX_20240704_9783036597300_18 9783036597300 9783036597317 https://directory.doabooks.org/handle/20.500.12854/139222 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9217 https://mdpi.com/books/pdfview/book/9217 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9731-7 10.3390/books978-3-0365-9731-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036597300 9783036597317 522 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science The 9th International Conference on Time Series and Forecasting |
| title | The 9th International Conference on Time Series and Forecasting |
| title_full | The 9th International Conference on Time Series and Forecasting |
| title_fullStr | The 9th International Conference on Time Series and Forecasting |
| title_full_unstemmed | The 9th International Conference on Time Series and Forecasting |
| title_short | The 9th International Conference on Time Series and Forecasting |
| title_sort | 9th international conference on time series and forecasting |
| topic | thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20240704_9783036597300_18 |