Knowledge Discovery in Data with FIT-Miner
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU95968" target="_blank" >RIV/00216305:26230/11:PU95968 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Knowledge Discovery in Data with FIT-Miner
Original language description
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 ofresults. Implemented data mining algorithms cover all typically mined kinds of knowledge, such as frequent patterns, association rules; and classification, prediction and clustering models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Znalosti 2011: Sborník příspěvků 10. ročníku konference
ISBN
978-80-248-2369-0
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
182-193
Publisher name
VŠB-Technical University of Ostrava
Place of publication
Stará Lesná
Event location
Hotel Academia Stará Lesná
Event date
Jan 31, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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