Publication result detail

Knowledge Discovery in Data with FIT-Miner

ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J.

Original Title

Knowledge Discovery in Data with FIT-Miner

English Title

Knowledge Discovery in Data with FIT-Miner

Type

Paper in proceedings outside WoS and Scopus

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.

English 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

Key words in English

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

Authors

ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J.

RIV year

2012

Released

01.02.2011

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"
}