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International Work-Conference on Time Series
This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligen...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-96944-2 http://cds.cern.ch/record/2646995 |
_version_ | 1780960531207684096 |
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author | Rojas, Ignacio Pomares, Héctor Valenzuela, Olga |
author_facet | Rojas, Ignacio Pomares, Héctor Valenzuela, Olga |
author_sort | Rojas, Ignacio |
collection | CERN |
description | This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics. |
id | cern-2646995 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-26469952021-04-22T06:33:49Zdoi:10.1007/978-3-319-96944-2http://cds.cern.ch/record/2646995engRojas, IgnacioPomares, HéctorValenzuela, OlgaInternational Work-Conference on Time SeriesMathematical Physics and MathematicsThis book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics.Springeroai:cds.cern.ch:26469952018 |
spellingShingle | Mathematical Physics and Mathematics Rojas, Ignacio Pomares, Héctor Valenzuela, Olga International Work-Conference on Time Series |
title | International Work-Conference on Time Series |
title_full | International Work-Conference on Time Series |
title_fullStr | International Work-Conference on Time Series |
title_full_unstemmed | International Work-Conference on Time Series |
title_short | International Work-Conference on Time Series |
title_sort | international work-conference on time series |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-96944-2 http://cds.cern.ch/record/2646995 |
work_keys_str_mv | AT rojasignacio internationalworkconferenceontimeseries AT pomareshector internationalworkconferenceontimeseries AT valenzuelaolga internationalworkconferenceontimeseries |