| Abstract: |  This work deals with design and implementation of intelligent data warehouse for domain of maritime piracy. This warehouse provides automatic categorization of text documents based on their topics, allows to search for documents using queries, it automatically downloads news from predefined sources and provides analysis of submitted piracy incidents in form of charts and map of incidents. For creating the categorization module, we studied the task of text classification. We evaluated three classification methods (Naive Bayes, k-nearest neighbours and Support Vector Machines) on a dataset from multi-agent systems domain.
|
|---|