An Approach for Quality Measure of Association Rule Based on QL-implicator
Wen-qi Wang, Qiang Li
Available Online March 2014.
- https://doi.org/10.2991/icieac-14.2014.4How to use a DOI?
- component; Association Rule; Quality Measure; QL-implcator; Support Degree;
- 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.
- 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 - 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 - https://doi.org/10.2991/icieac-14.2014.4 ID - Wang2014/03 ER -