Conference paper

ŠEBEK Michal, HLOSTA Martin and ZENDULKA Jaroslav. Knowledge Discovery in Data with FIT-Miner. In: Znalosti 2011: Sborník příspěvků 10. ročníku konference. Stará Lesná: VŠB-Technical University of Ostrava, 2011, pp. 182-193. ISBN 978-80-248-2369-0.
Publication language:english
Original title:Knowledge Discovery in Data with FIT-Miner
Title (cs):Získávání znalostí z databází pomocí systému FIT-Miner
Proceedings:Znalosti 2011: Sborník příspěvků 10. ročníku konference
Conference:Znalosti 2011
Place:Stará Lesná, SK
Publisher:VŠB-Technical University of Ostrava
Data mining system, data preprocessing, frequent patterns, classification, prediction, clustering
The paper deals with a data mining system FIT-Miner that has been developed at the Faculty of Information Technology of the Brno University of Technology. The system is based on a component approach where the essential functionality is encapsulated in components. A data mining task is specified graphically as a network of interconnected components. This approach makes good maintainability and scalability possible. The FIT-Miner includes components for data preprocessing, data mining and presentation of results. Implemented data mining algorithms cover all typically mined kinds of knowledge, such as frequent patterns, association rules; and classification, prediction and clustering models.

   author = {Michal {\v{S}}ebek and Martin Hlosta and Jaroslav Zendulka},
   title = {Knowledge Discovery in Data with FIT-Miner},
   pages = {182--193},
   booktitle = {Znalosti 2011: Sborn{\'{i}}k
	p{\v{r}}{\'{i}}sp{\v{e}}vk{\r{u}} 10. ro{\v{c}}n{\'{i}}ku
   year = {2011},
   location = {Star{\'{a}} Lesn{\'{a}}, SK},
   publisher = {V{\v{S}}B-Technical University of Ostrava},
   ISBN = {978-80-248-2369-0},
   language = {english},
   url = {}

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