Comprehensive Association Rules Mining of Health Examination Data with an Extended FP-Growth Method

标题
Comprehensive Association Rules Mining of Health Examination Data with an Extended FP-Growth Method
作者
关键词
Association rules, Data mining, Negative association rules, FP-growth, Health examination data, Health informatics
出版物
MOBILE NETWORKS & APPLICATIONS
Volume 22, Issue 2, Pages 267-274
出版商
Springer Nature
发表日期
2017-01-04
DOI
10.1007/s11036-016-0793-6

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