Result Details
Knowledge Discovery in Data with FIT-Miner
Hlosta Martin, Ing., Ph.D., DIFS (FIT)
Zendulka Jaroslav, doc. Ing., CSc., DIFS (FIT)
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.
Data mining system, data preprocessing, frequent patterns, classification, prediction, clustering
@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"
}Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running