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Knowledge Data Discovery
 Jirmásek, Tomáš ; Chmelař, Petr (referee) ; Jurka, Pavel (advisor)
This bachelor's thesis deals with knowledge discovery in databases and is focused on Bayesian classification. The main goal of this thesis was to implement one of the methods of data mining and to verify its functionality on chosen data set. The application is implemented in programming language Java. MySQL database was chosen as a data storage for data set prepared to extract patterns from it. Information needed to start data mining task are gained from input DMSL document. The results of data mining are also stored into output DMSL document. The DMSL language had to be extended because of implemented method, Bayesian classification.
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