Papers

Šebek, M., Hlosta, M., Zendulka, J.: Knowledge Discovery in Data with FIT-Miner, In: Znalosti 2011: Sborník příspěvků 10. ročníku konference, Stará Lesná, SK, VŠB TU, 2011, p. 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
Pages:182-193
Proceedings:Znalosti 2011: Sborník příspěvků 10. ročníku konference
Conference:Znalosti 2011
Place:Stará Lesná, SK
Year:2011
ISBN:978-80-248-2369-0
Publisher:VŠB-Technical University of Ostrava
Keywords
Data mining system, data preprocessing, frequent patterns, classification, prediction, clustering
Annotation
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.

BibTeX:
@INPROCEEDINGS{
   author = {Michal Šebek and Martin Hlosta and Jaroslav Zendulka},
   title = {Knowledge Discovery in Data with FIT-Miner},
   pages = {182--193},
   booktitle = {Znalosti 2011: Sborník příspěvků 10. ročníku konference},
   year = {2011},
   location = {Stará Lesná, SK},
   publisher = {VŠB-Technical University of Ostrava},
   ISBN = {978-80-248-2369-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9474}
}

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