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Time Series Data Mining and Its Applications in Real-World Problems
Título: Time series data mining and its applications in real-world problems
Ponente: Antonio Manuel Durán (Universidad de Córdoba)
Organizador: Jesús Javier Rodríguez Sala
Fecha: Lunes 4 de octubre de 2021 a las 12:00 horas.
Lugar: Online.
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Abstract: Currently, information systems such as sensors produce a large amount of data, which is expected to experience exponential growth in the coming years. These data are often treated […]
Artículos Científicos
Aparicio, J., Monge, J.F., Ramón, N. (2021) «A new measure of technical efficiency in data envelopment analysis based on the maximization of hypervolumes: Benchmarking, properties and computational aspects», European Journal of Operational Research, 293 (1):263–275
Juan Aparicio, Juan Francisco Monge and Nuria Ramón (University Miguel Hernández of Elche)
Abstract: The measurement of technical efficiency attracts considerable interest in the literature. In fact, following on from the seminal works by Koopmans (1951), Debreu (1951), Shephard (1953) and Farrell (1957), a substantial amount of literature has been dedicated to methods for estimating production frontiers […]
Artículos Científicos
Charles, V., Aparicio, J., Zhu, J. (2021) «Special Issue Data Science for Better Productivity», Journal of the Operational Research Society, 72 (5):971–974
Vicent Charles (University of Bradford), Juan Aparicio (Universidad Miguel Hernández de Elche) and Joe Zhu (Worcester Polytechnic Institute)
Abstract:
Artículos Científicos
Esteve, M., Rodriguez-Sala, J.J., Lopez-Espin, J.J., Aparicio, J. (2021) «Heuristic and Backtracking algorithms for improving the performance of Efficiency Analysis Trees», IEEE Access, 9:17421–17428, 9334981
Miriam Esteve, Jesús Javier Rodríguez, José Juan López and Juan Aparicio (Universidad Miguel Hernández de Elche)
Abstract: In the literature of Economics, Engineering and Operations Research, the estimation of production frontiers is a current hot topic. Many parametric and nonparametric methodologies have been introduced for estimating technical efficiency of a set of units (for example, […]
Artículos Científicos
Rodriguez Castro, D.Y., Zabala-Iturriagagoitia, J.M., Aparicio, J. (2021) «(Strategic groups in private higher education) | Grupos estratégicos en el sector privado de la educación superior», Educacion XX1, 24 (1) : 163–187
Dorys Yaneth Rodríguez-Castro, Jon Mikel Zabala Iturriagagoitia (Universidad de Deusto) and Juan Aparicio (Universidad Miguel Hernández de Elche)
Abstract: The goal of this paper is to characterize the institutional diversity of the private side of a higher education system. The classification techniques used in the literature have a propensity to compare private higher education institutions […]
Artículos Científicos
Duran, G., Amigo, J.M., Gimenez, A., Valero, J., Bonastre, O.M. (2021) «Poster: Modeling Congestion Control using Petri Nets», 27th IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2021, IEEE Workshop on Local and Metropolitan Area Networks, 2021: 9478802
José María Amigó, Guillermo Durán, Ángel Giménez, José Valero and Óscar Martínez (Universidad Miguel Hernández de Elche)
Abstract: Formal specification is an essential phase for the design of any network algorithm, including Active Queue Management (AQM) schemes. In this poster, we focus on modeling with Petri Nets (PN) a new scheme of AQM. Our AQM is based […]
Artículos Científicos
Hirata, Y., Amigó, J.M., Horai, S., Ogimoto, K., Aihara, K. (2021) «Forecasting wind power ramps with prediction coordinates», Chaos, 31 (10) : 103105
Yoshito Hirata, Shunsuke Horai, Kazuhiko Ogimoto, Kazuyuki Aihara (Institute of Industrial Science, The University of Tokyo) and José María Amigó (Universidad Miguel Hernández de Elche)
Abstract: To the best of our knowledge, the method of prediction coordinates is the only forecasting method in nonlinear time series analysis that explicitly uses the stochastic characteristics of a system with […]
Artículos Científicos
Amigó, J.M., Giménez, A., Martínez-Bonastre, O., Valero, J. (2021) «Internet congestion control: From stochastic to dynamical models», Stochastics and Dynamics, 21 (3):2140009
José María Amigó, Ángel Giménez. Óscar Martínez and José Valero (Universidad Miguel Hernández de Elche)
Abstract: Since its inception, control of data congestion on the Internet has been based on stochastic models. One of the first such models was Random Early Detection. Later, this model was reformulated as a dynamical system, with the average queue sizes […]
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