Development of a new metric to identify rare patterns in association analysis: The case of analyzing diabetes complications.

Saeed Piri,Dursun Delen,Tieming Liu,William Paiva

Expert Systems with Applications（2018）

引用 22|浏览17

暂无评分

摘要

•This research aims to address the rare item detection problem in association rule mining.•A new assessment metric, called adjusted_support, is proposed for rare items detection.•A large size dataset with the data of about 600,000 patients is used to test the proposed metric.

查看译文

关键词

Data mining,Diabetes,Comorbidity,Association rule mining,Rare-pattern identification,Adjusted_support

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要