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Datamining in data from financial institution
Fedorko, Michal ; Rauch, Jan (advisor) ; Kotlář, Ondřej (referee)
The main purpose of this paper is to create datamining analysys of volutary termations in financial institution based in Czech republic on the data stored by HR department. Only hard data currently stored was input. For creating analysys the CRISP-DM metodology was used. For modeling itself the LISp-Miner was used. Association rules were the main approach to solving the task..Several interesting association rules were found and interprated. Outcome of the paper is for internal campains of the customer and there is even motivation for furthure predictive modeling and this was the first step.

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