El próximo martes 19 de junio a las 16:00 en el aula de seminarios del edificio B de la ETS Ingenieros de Telecomunicación de la Universidad Politécnica de Madrid, el profesor Jürgen Dunkel, de la Hochschule Hannover (University of Applied Sciences and Arts), impartirá el seminario “Learning Complex Event Processing Rules with Genetic Programming”.
Breve 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.