Título : Data stream solution for decision-making processes: a general and adaptive system for decision support |
Autor : Mollá, Nuria  Bossler, Ana  Rabasa, Alejandro  |
Editor : Taylor and Francis |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2024-04 |
URI : https://hdl.handle.net/11000/35032 |
Resumen :
With the rise of new data generation processes and availability rates, new challenges appear linked with the information and pattern extraction for decisional processes. In these contexts, decision support systems (DSS) need to incrementally integrate the data f lows to provide readable, understandable and meaningful conclusions. This research presents a novel adaptive DSS that offers updated and explainable knowledge for decision makers, especially in uncertain decision scenarios. Also, this work explores applications of this technology in some social fields, aiming to analyse the potential contribution of machine learning, combined with adaptive decision systems, in society.
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Palabras clave/Materias: Decision support system DSS data streams adaptive tool |
Área de conocimiento : CDU: Ciencias puras y naturales: Generalidades sobre las ciencias puras |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1080/12460125.2024.2354590 |
Publicado en: JOURNAL OF DECISION SYSTEMS, 2024 |
Aparece en las colecciones: Artículos Estadística, Matemáticas e Informática
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