Advances in Time Series Analysis and Forecasting
Updates the reader on the latest findings in time series analysis and forecastingCovers both theoretical aspects and real-world applicationsBrings together experts from various disciplines, from statistics to econometrics to computer science
ISBN: | 9783319857480 |
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Sprache: | Englisch |
Seitenzahl: | 414 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Pomares, Héctor Rojas, Ignacio Valenzuela, Olga |
Verlag: | Springer International Publishing |
Veröffentlicht: | 03.08.2018 |
Untertitel: | Selected Contributions from ITISE 2016 |
Schlagworte: | 62-XX, 68-XX, 60-XX, 58-XX, 37-XX advanced methods in time series big data complex data forecasting forecasting in real problems high-dimensional data irregularly sampled time series on-line learning in time series time series analysis |
Ignacio Rojas is a full professor at the Department of Computer Architecture and Computer Technology, University of Granada, Spain. Throughout his research career, he has served as a principal investigator or participated in more than 20 research projects obtained in competitive calls including projects of the European Union, the I+D+I Spanish National Government and projects Excellence of the Ministry of Innovation, Science and Enterprise Junta de Andalucía. He has published more than 210 scientific contributions reflected in the database ISI Web of Knowledge, thereof 87 articles in JCR-indexed journals. Héctor Pomares has been a full professor at the University of Granada in Spain since 2001. He has published more than 50 articles in JCR-indexed journals and contributed with more than 150 papers in international conferences. He has led or participated in 15 national projects, one autonomic R&D Excellence project and 13 contracts signed for innovativeresearch through the University of Granada Foundation Company and the Office of Transfer of Research Results. He has made 6 stays longer than one month in prestigious research centers outside of Spain, all of them with a competitive nature. He is a member of the editorial board of the Journal of Applied Mathematics (JCR-indexed) and is the coordinator of the Official Master's Degree in Computer & Network Engineering at the University of Granada. Olga Valenzuela is an Associate Professor at the Department of Applied Mathematics, University of Granada, Spain, where she received her Ph.D. in 2003. She was an invited researcher at the Department of Statistics, University of Jaen, Spain, and at the Department of Computer and Information Science, University of Genova, Italy. Her current research interests include optimization theory and applications, statistical analysis, fuzzy systems, neural networks, time series forecasting using linear and non-line ar methods,evolutionary computation and bioinformatics. She has made several stays longer than one month in prestigious research centers outside of Spain, all of them with a competitive nature. She has published more than 67 contributions reflected in the database ISI Web of Knowledge.