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

DOI

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference on Information, Electronics and Computer
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 1951-6851
UR  - https://doi.org/10.2991/icieac-14.2014.4
DO  - 10.2991/icieac-14.2014.4
ID  - Wang2014/03
ER  -