N. Mollá, A. Rabasa, J. Sánchez-Soriano, J. J. Rodríguez-Sala, A. Ferrándiz

La ciencia de datos es, ahora mismo, uno de los campos más prometedores dentro de la ciencia y la creación de modelos data-driven. Esta disciplina está relacionada con campos tan populares como la inteligencia artificial, el machine learning o el big data. Con la aparición de los flujos de datos o data streams, se presenta la posibilidad de dotar a dichos modelos de una cualidad incremental que actualice la base de conocimiento de manera continua. Con este objetivo diseñamos e implemetamos el algoritmo IDRA (Incremental Decision Rules Algorithm), que propone un nuevo método incremental basado en reglas de clasificación para el tradicional algoritmo ID3. Este método cuenta con una estructura de reglas especialmente diseñada para su implementación en sistemas de apoyo a la decisión (DSS) y ha resultado ser muy preciso y estable en experimentos computacionales utilizando tanto escenarios simulados como datos reales.

Keywords: minería de datos, data streams, clasificación, reglas

Scheduled

Invited Session Math-In. Industrial Applications II
June 8, 2022  4:00 PM
Auditorium


Other papers in the same session


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