Parallel algorithm for reduction of data processing time in big data

Silva, Jesús; H, H; Niebles Núñez, William; Ovallos-Gazabon, David; Varela, Noel

doi:doi:10.1088/1742-6596/1432/1/012095

dc.contributor.author	Silva, Jesús	spa
dc.contributor.author	H, H	spa
dc.contributor.author	Niebles Núñez, William	spa
dc.contributor.author	Ovallos-Gazabon, David	spa
dc.contributor.author	Varela, Noel	spa
dc.date.accessioned	2020-04-23T16:34:52Z
dc.date.available	2020-04-23T16:34:52Z
dc.date.issued	2020
dc.identifier.issn	1742-6588	spa
dc.identifier.issn	1742-6596	spa
dc.identifier.uri	https://hdl.handle.net/11323/6240	spa
dc.description.abstract	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.	spa
dc.language.iso	eng
dc.publisher	Journal of Physics: Conference Series	spa
dc.rights	CC0 1.0 Universal	spa
dc.rights.uri	http://creativecommons.org/publicdomain/zero/1.0/	spa
dc.subject	Parallel algorithm	spa
dc.subject	Processing time	spa
dc.subject	Big data	spa
dc.title	Parallel algorithm for reduction of data processing time in big data	spa
dc.type	Artículo de revista	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.identifier.doi	doi:10.1088/1742-6596/1432/1/012095	spa
dc.identifier.instname	Corporación Universidad de la Costa	spa
dc.identifier.reponame	REDICUC - Repositorio CUC	spa
dc.identifier.repourl	https://repositorio.cuc.edu.co/	spa
dc.publisher.program	Retracted	spa
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