The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on […]
The special session Knowledge extraction based on evolutionary learning, organized by Salvador García, Albert Orriols, and José Otero, was one of the opening sessions of the 4th international conference on hybrid artificial intelligent systems (HAIS 2009).
Its program, full of interesting talks that discussed the new trends for knowledge extraction processes by means of evolutionary algorithms, included two contributions from the GRSI entitled: Multiobjective evolutionary clustering approach to security vulnerability assessments and Beyond homemade artificial data sets, presented by Guiomar Corral and Albert Orriols respectively.
Guiomar Corral introduced an evolutionary multiobjective approach to cluster the devices of a network with similar vulnerabilities. This technique provides analysts with a map which is helpful to detect malicious attacks or unauthorized changes in the network.
Albert Orriols, in turn, addressed a hot topic in machine learning: the artificial data sets generation. He explained the importance to work under a controlled experimental framework and pointed some ideas to build it.
Salamanca will be for one more day a forum to exchange new ideas and present recent developments in the field of artificial intelligence.