Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Some dependencies among attributes given by fuzzy confirmation measures

Authors
Jiri Kupka, Iva Tomanová
Corresponding Author
Jiri Kupka
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.53How to use a DOI?
Keywords
Data mining, linguistic association, confirmation measures, support measure, confidence measure, association rule.
Abstract
This paper is devoted to fuzzy association analysis. Our motivation to this work arose from mining of linguistic associations, however found relations among mined associations are valid in general. Three the most commonly used support and confidence measures are considered and various relations among found and previously known associations given by confirmation measures are studied. Good understanding of such relationships is essential for creating more efficient algorithms, for subsequent work with found associations as well as for cooperation with the consumer of the data mining process.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2011.53How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiri Kupka
AU  - Iva Tomanová
PY  - 2011/08
DA  - 2011/08
TI  - Some dependencies among attributes given by fuzzy confirmation measures
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 498
EP  - 505
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.53
DO  - https://doi.org/10.2991/eusflat.2011.53
ID  - Kupka2011/08
ER  -