Publication detail

Knowledge Discovery in Data with FIT-Miner

ŠEBEK, M. HLOSTA, M. ZENDULKA, J.

Original Title

Knowledge Discovery in Data with FIT-Miner

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

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

Authors

ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J.

RIV year

2011

Released

1. 2. 2011

Publisher

VŠB-Technical University of Ostrava

Location

Stará Lesná

ISBN

978-80-248-2369-0

Book

Znalosti 2011: Sborník příspěvků 10. ročníku konference

Pages from

182

Pages to

193

Pages count

12

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"
}