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Comenzamos a calentar los motores para la celebración de los 40 años del GSI. Hoy traigo uno de los primeros artículos del grupo en nuestro tema: "Inteligencia Artificial" publicado por Gregorio en el BIT del CO ...

Este martes 24 de junio se presentan los resultados del proyecto AMOR en Aranjuez en el curso de verano de la URJC organizado por CETINIA titulado "Human-centred Artificial Intelligence: How to bypass the Turing Tra ...

Hoy 12/12/2024 se presenta el proyecto AMOR en el UNICO I+D Project Meet-up Madrid organizado por el proyecto ELADAIS con la participación de los proyectos UNICO CLOUD financiados en la UPM (ELADAIS, MAP 6G, RISC ...

Canal GSI

Cuándo:  martes 19 de junio a las 16:00

Dónde: sala B-225 de la ETSIT (UPM).

Ponente: Jürgen Dunkel

Título: Learning Complex Event Processing Rules with Genetic Programming

Resumen: Complex Event Processing (CEP) is an established software technology to extract relevant information from massive data streams. Currently, domain experts have to determine manually CEP rules that define a situation of interest. However, often CEP rules cannot be formulated by experts, because the relevant interdependencies and relations between the data are not explicitly known, but inherently hidden in the data streams. To cope with this problem, we present a new learning approach for CEP rules, which is based on Genetic Programming. We discuss in detail the different building blocks of Genetic Programming and how to adjust them to CEP rule learning. The extensive experiments, with synthetic data as well a real world data, show, that Genetic Programming has a high potential for learning CEP rules. In most of our experiments we could derive CEP rules with a nearly perfect recall and precision.