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4 results on '"Paredes Miranda, David"'

1. New Solution for the Packaging and Delivery the Interactive Services of the Cuban Terrestrial Digital Television

Author

González Fernández, Juan Carlos, Pina Amargós, Joaquín, Socorro Llanes, Raisa, Paredes Miranda, David, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abásolo, María J., editor, Abreu, Jorge, editor, Almeida, Pedro, editor, and Silva, Telmo, editor

Published
2021
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2. Incorporation of Immediacy, Dynamics and Interactivity to Digital Terrestrial Television Services in Cuba Through TVC+

Author

Pina Amargós, Joaquín D., Socorro Llanes, Raisa, Paredes Miranda, David, Amador González, Maykel, Villarroel Ramos, Dany L., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abásolo, María J., editor, Kulesza, Raoni, editor, and Pina Amargós, Joaquín D., editor

Published
2020
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4. Descubrimiento de Modelos Procesos aplicando los algoritmos Escalador de Colinas y Estrategia Evolutiva.

Author

Puldón, Joan Jaime, Cedeño Rondón, Hassan, Camacho Eng, Randy, and Paredes Miranda, David

Subjects
*HILL climbing algorithms, *EVOLUTIONARY computation, *DATA mining, *METAHEURISTIC algorithms, *INFORMATION storage & retrieval systems, *DECISION making
Abstract

In this paper is analyzed and modeled the problem of discovery process models, in order to apply metaheuristic algorithms based on a point and populations. There are two main reasons for the growing interest to improving the efficiency of the discovery algorithms in process mining. First or all, the information systems, that support business processes in organizations, record the details of the executions. These contain a potential knowledge for decision making. In addition to the growing need to support business processes in competitive and rapidly changing environments. In order to meet the objective of this work that is selected best suited metaheuristics algorithms to the problem: The Hill Climbing and Evolutionary Strategy. The main contribution consists in modeling a first approach to the problem of finding models using metaheuristic strategies. [ABSTRACT FROM AUTHOR]

Published
2015

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