Publication Details

Knowledge Discovery in Data with FIT-Miner

ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J. Knowledge Discovery in Data with FIT-Miner. Znalosti 2011: Sborník příspěvků 10. ročníku konference. Stará Lesná: VŠB-Technical University of Ostrava, 2011. p. 182-193. ISBN: 978-80-248-2369-0.
Czech title
Získávání znalostí z databází pomocí systému FIT-Miner
Type
conference paper
Language
English
Authors
Šebek Michal, Ing., Ph.D.
Hlosta Martin, Ing., Ph.D.
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Keywords

Data mining system, data preprocessing, frequent patterns, classification, prediction, clustering

Abstract

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.

Published
2011
Pages
182–193
Proceedings
Znalosti 2011: Sborník příspěvků 10. ročníku konference
ISBN
978-80-248-2369-0
Publisher
VŠB-Technical University of Ostrava
Place
Stará Lesná
BibTeX 
@inproceedings{BUT76267,
  author="Michal {Šebek} and Martin {Hlosta} and Jaroslav {Zendulka}",
  title="Knowledge Discovery in Data with FIT-Miner",
  booktitle="Znalosti 2011: Sborník příspěvků 10. ročníku konference",
  year="2011",
  pages="182--193",
  publisher="VŠB-Technical University of Ostrava",
  address="Stará Lesná",
  isbn="978-80-248-2369-0"
}
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