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The Knowledge Engineering and Machine Learning Group (KEMLG) is formed by members of the Department of Computer Science.
The aim is the analysis, design and implementation of techniques and new artificial intelligence methodologies to support functioning or the analysis of system’s behaviour and complex domains of the real world.
Main research areas are:
- Assistive technologies and ambient intelligence
- Intelligent decision support systems and recommender systems
- Knowledge discovery and data mining
- eCommerce, semantic web and distributed intelligent systems
- Electronic institutions, organizational theory and multiagent systems
- Computational argumentation
- Networks and social systems
- Machine learning
Research is focused on the analysis, design, management or supervision of these domains, including areas such as healthcare, environmental processes, and industrial and enterprise sector.
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