Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Abstract. Current data-intensive Web applications, such as on-line trading, ecommerce, corporate portals and so on, are becoming more and more complex, both in terms of density of ...
Abstract. Multi-agent systems are a natural way of decomposing complex systems into more manageable and decentralized units. Nevertheless, as single agents can represent complex su...
Lars Braubach, Alexander Pokahr, Winfried Lamersdo...