—In this paper we present a generic approach for summarising multilingual news clusters such as the ones produced by the Europe Media Monitor (EMM) system. It is generic because ...
Mijail Alexandrov Kabadjov, Josef Steinberger, Bru...
Association analysis is one of the most popular analysis paradigms in data mining. Despite the solid foundation of association analysis and its potential applications, this group o...
Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pan...
To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
GRID environments are privileged targets for computation-intensive problem solving in areas from weather forecasting to seismic analysis. Mainly composed by commodity hardware, th...
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...