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In this paper, a novel approach to classifier ensemble creation is presented. While other ensemble creation techniques are based on careful selection of existing classifiers or preprocessing of the data, the presented approach automatically creates an optimal labelling for a number of classifiers, which are then assigned to the original data instances and fed to classifiers. The approach has be...
Spatial data conflation is a key task for consolidating geographic knowledge from different data sources covering overlapping regions that were gathered using different methodologies and objectives. Nowadays this research area is becoming more challenging because of the increasing size and number of overlapping spatial data sets being produced. This paper presents an approach towards distribute...
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