Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Modern Information Retrieval
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Synthetic Worlds: The Business and Culture of Online Games
Synthetic Worlds: The Business and Culture of Online Games
Mastering Regular Expressions
The use of Second Life for distance education
Journal of Computing Sciences in Colleges
Exploring gaming mechanisms to enhance knowledge acquisition in virtual worlds
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Using the clustering coefficient to guide a genetic-based communities finding algorithm
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Genetic algorithms to simplify prognosis of endocarditis
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
IEEE Transactions on Information Theory
Comparative study of text clustering techniques in virtual worlds
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Twitter stream analysis in Spanish
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
A large-scale, longitudinal study of user profiles in world of warcraft
Proceedings of the 22nd international conference on World Wide Web companion
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Virtual Worlds (VWs) platforms and applications provide a practical implementation of the Metaverse concept. These applications, as highly inmersive and interactive 3D environments, have become very popular in social networks and games domains. The existence of a set of open platforms like OpenSim or OpenCobalt have played a major role in the popularization of this technology and they open new exciting research areas. One of these areas is behaviour analysis. In virtual world, the user (or avatar) can move and interact within an artificial world with a high degree of freedom. The movements and iterations of the avatar can be monitorized, and hence this information can be analysed to obtain interesting behavioural patterns. Usually, only the information related to the avatars conversations (textual chat logs) are directly available for processing. However, these open platforms allow to capture other kind of information like the exact position of an avatar in the VW, what they are looking at (eye-gazing) or which actions they perform inside these worlds. This paper studies how this information, can be extracted, processed and later used by clustering methods to detect behaviour or group formations in the world. To detect the behavioural patterns of the avatars considered, clustering techniques have been used. These techniques, using the correct data preprocessing and modelling, can be used to automatically detect hidden patterns from data.