ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Big Data"
Mostrando ítems 1-9 de 9
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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 ...
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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 ...
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BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier B.V., 2024)Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data ...
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Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ...
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¿Cómo transformar información en ahorro para el consumidor doméstico? El caso del contador eléctrico inteligente en España
(Publicaciones Dyna, 2018)El cliente doméstico era el gran olvidado del sistema eléctrico. A pesar de su peso en el consumo total, hasta hace pocos ...
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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 ...
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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 ...
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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. ...
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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 ...