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Mostrando ítems 1-10 de 23
Ponencia
MOPNAR-BigData: un diseño MapReduce para la extracción de reglas de asociación cuantitativas en problemas de big data
(Asociación Española de Inteligencia Artificial, 2015-11)
El término big data se ha extendido rápidamente en el área de la minera de datos debido a que las grandes cantidades de datos que se generan hoy en da no pueden ser procesadas o analizadas por las técnicas tradicionales ...
Artículo
Benchmarking real-time vehicle data streaming models for a smart city
(Elsevier, 2017)
The information systems of smart cities offer project developers, institutions, industry and experts the possibility to handle massive incoming data from diverse information sources in order to produce new information ...
Ponencia
Análisis Big Data para la Respuesta a la Demanda en el Mercado Eléctrico
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)
El modelo de negocio tradicional de las compañías energéticas está cambiando los últimos años. La introducción de los contadores inteligentes ha conll evado un aumento exponencial del volumen de datos disponibles, y su ...
Artículo
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
(Elsevier, 2018)
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. However, this task is becoming a challenge because the processing power of most existing techniques ...
Artículo
Unleashing Constraint Optimisation Problem solving in Big Data environments
(Elsevier, 2020)
The application of the optimisation problems in the daily decisions of companies is able to be used for finding the best management according to the necessities of the organisations. However, optimisation problems imply ...
Ponencia
CC4Spark: Distributing Event Logs and big complex Conformance Checking problems
(CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Conformance checking is one of the disciplines that best exposes the power of process mining, since it allows detecting anomalies and deviations in business processes, helping to assess and improve the quality of these. ...
Ponencia
FABIOLA: Towards the resolution of constraint optimization problems in big data environment
(Association for Information Systems (AIS), 2017)
The optimization problems can be found in several examples within companies, such as the minimization of the production costs, the faults produced, or the maximization of customer loyalty. The resolution of them is a ...
Ponencia
Entity Identity Reconciliation based Big Data Federation A MDE approach
(Association for Information Systems (AIS), 2015)
“Information is power” is a sentence attributed to Francis Bacon that acquired a high important in the current era of the information. However, too much information can be a negative aspect. The term of “Infoxication” ...
Artículo
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so that each group contains objects that are more similar to each other than to objects in other ...
Artículo
Empowering conformance checking using Big Data through horizontal decomposition
(Elsevier, 2021)
Conformance checking unleashes the full power of process mining: techniques from this discipline enable the analysis of the quality of a process model through the discovery of event data, the identification of potential ...