Proceedings of the 2nd International Conference on Information, Electronics and Computer

An Approach for Quality Measure of Association Rule Based on QL-implicator

Authors
Wen-qi Wang, Qiang Li
Corresponding Author
Wen-qi Wang
Available Online March 2014.
DOI
https://doi.org/10.2991/icieac-14.2014.4How to use a DOI?
Keywords
component; Association Rule; Quality Measure; QL-implcator; Support Degree;
Abstract
To solve the low resolution of fuzzy association rule in airborne radar data mining using traditional quality measure, a fuzzy support degree improving approach based on QL-implicator was presented. Distinguished from The traditional approach which positive example was gained, non-counter example was gained by QL-implicator fuzzy support degree. If the former got more examples, so the number of examples in contradiction with the association was Infrequent. And this measure approach was be propitious to make a choice between two or more than two little different associations. Experimental result proves the effectiveness and feasibility of this approach.
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Proceedings
2nd International Conference on Information, Electronics and Computer
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-90-78677-99-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/icieac-14.2014.4How 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  - Wen-qi Wang
AU  - Qiang Li
PY  - 2014/03
DA  - 2014/03
TI  - An Approach for Quality Measure of Association Rule Based on QL-implicator
BT  - 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.4
DO  - https://doi.org/10.2991/icieac-14.2014.4
ID  - Wang2014/03
ER  -