南京邮电大学学报（自然科学版）2017，Vol.37Issue(5)：87-93,7.DOI:10.14132/j.cnki.1673-5439.2017.05.015
基于相关兴趣度的关联规则挖掘算法研究
Association rule mining algorithm based on related interest measure
章永祺 1王诚1
作者信息
- 1. 南京邮电大学通信与信息工程学院,江苏南京210003
- 折叠
摘要
Abstract
Aimed at the demerits of association rule mining technology based on the degree of support and confidence,and based on both association and correlation rule algorithm association & correlation mining (AC_Mining),this paper introduces a related-confidence to measure the correlation among items,and proposes a new mining algorithm,called the I&ItemMine_AC (I&Item:item set and item;AC:association & correlation).Experiments prove that the mining algorithm eliminates suspicious patterns or association rules existed in the traditional association rule mining.Meanwhile,it also improves the demerits of general association rules and the unbalance before and after item sets mine,thus,improving the quality of generated association rules,and its relevant measure is very effective in pruning.关键词
关联规则/相关兴趣度/相关兴趣度/AC_Mining算法/I&ItemMine_AC算法Key words
association rules/related interest measure/Related-confidence/AC _ Mining algorithm/I&ItemMine_AC algorithm分类
信息技术与安全科学引用本文复制引用
章永祺,王诚..基于相关兴趣度的关联规则挖掘算法研究[J].南京邮电大学学报（自然科学版）,2017,37(5):87-93,7.
