Buscar
Mostrando ítems 1-10 de 11
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 ...
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
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
An approach to validity indices for clustering techniques in Big Data
(Springer, 2018)
Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some clustering methods require the number of clus ters into which the data is going to be partitioned. There ...
Ponencia
Un Recorrido por los Principales Proveedores de Servicios de Machine Learning y Predicción en la Nube
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2018)
Los medios tecnológicos para el consumo, producción e intercambio de información no hacen más que aumentar cada día que pasa. Nos encontramos envueltos en el fenómeno Big Data, donde ser capaces de analizar esta informa ...
Ponencia
SmartFD: A Real Big Data Application for Electrical Fraud Detection
(Springer, 2018)
The main objective of this paper is the application of big data analytics to a real case in the field of smart electric networks. Smart meters are not only elements to measure consumption, but they also con stitute a ...
Ponencia
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks
(Springer, 2019)
The currently burst of the Internet of Things (IoT) tech-nologies implies the emergence of new lines of investigation regarding not only to hardware and protocols but also to new methods of pro-duced data analysis ...
Ponencia
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
(Springer, 2016)
A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted as the main core of the algorithm. A detailed explanation on how to adapt and imple ment the ...
Ponencia
Aproximación al índice externo de validación de clustering basado en chi cuadrado
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)
El clustering es una de las técnicas más utilizadas en minería de datos. Tiene como objetivo principal agrupar datos en clusters de manera que los objetos que pertenecen al mismo clúster sean más similares que los que ...