| dc.creator | Silva, Jesús | |
| dc.creator | H, H | |
| dc.creator | Niebles Núñez, William | |
| dc.creator | Ovallos-Gazabon, David | |
| dc.creator | Varela, Noel | |
| dc.date | 2020-04-23T16:34:52Z | |
| dc.date | 2020-04-23T16:34:52Z | |
| dc.date | 2020 | |
| dc.date.accessioned | 2023-10-03T19:02:18Z | |
| dc.date.available | 2023-10-03T19:02:18Z | |
| dc.identifier | 1742-6588 | |
| dc.identifier | 1742-6596 | |
| dc.identifier | https://hdl.handle.net/11323/6240 | |
| dc.identifier | doi:10.1088/1742-6596/1432/1/012095 | |
| dc.identifier | Corporación Universidad de la Costa | |
| dc.identifier | REDICUC - Repositorio CUC | |
| dc.identifier | https://repositorio.cuc.edu.co/ | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9167005 | |
| dc.description | Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently. | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Journal of Physics: Conference Series | |
| dc.publisher | Retracted | |
| dc.relation | [1] Chapman B, G. Jost and R Van der Pas. Using OpenMP: Portable Shared Memory Parallel Programming Scientific and Engineering Computation. The MIT Press.Massachusetts Institutte of Technology. ISBN 978-0- 262-53302-7. pp 349. 2008. | |
| dc.relation | [2] Jain, Mugdha, and Chakradhar Verma. "Adapting k-means for Clustering in Big Data." International Journal of Computer Applications 101.1 (2014): 19-24. | |
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| dc.relation | [8] Pas, R. An Overview of OpenMP 3.0. In., 2009.IWOMP. Tu Dresden (Alemania). Disponible en http://iwomp.zih.tu-dresden.de/downloads/2.Overwiew_OpenMP.pdf. | |
| dc.relation | [9] N. Sapankevych y R. Sankar, “Time Series Prediction Using Support Vector Machines: A Survey”, IEEE Computational Intelligence Magazine, vol. 4, núm. 2, pp. 24–38, may 2009. | |
| dc.relation | [10] Reinders, J. Intel threading building blocks-outfitting C++ for multi-core processor parallelism. OReilly Media. ISBN 978-1449390860, pp 336, 2007. | |
| dc.relation | [11] Kaminsky, A. The Parallel Java 2 Library Parallel Programming in 100 % Java. Rochester Institute of Technology, Department of Computer Science, Rochester, New York, EUA. 2015. | |
| dc.relation | [12] F. Villada, N. Muñoz, y E. García, Aplicación de las Redes Neuronales al Pronóstico de Precios en Mercado de Valores, Información tecnológica, vol. 23, núm. 4, pp. 11–20. 2012. | |
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| dc.relation | [16] R. Putha, L. Quadrifoglio, and E. Zechman. Comparing ant colony optimization and genetic algorithm approaches for solving traffic signal coordination under oversaturation conditions. Computer‐ Aided Civil and Infrastructure Engineering, 27(1), 14-28, 2012. | |
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| dc.rights | CC0 1.0 Universal | |
| dc.rights | http://creativecommons.org/publicdomain/zero/1.0/ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.subject | Parallel algorithm | |
| dc.subject | Processing time | |
| dc.subject | Big data | |
| dc.title | Parallel algorithm for reduction of data processing time in big data | |
| dc.type | Artículo de revista | |
| dc.type | http://purl.org/coar/resource_type/c_6501 | |
| dc.type | Text | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | http://purl.org/redcol/resource_type/ART | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.type | http://purl.org/coar/version/c_ab4af688f83e57aa | |
