中山醫學大學機構典藏 CSMUIR:Item 310902500/25129
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    题名: Access Equity and Life Care Needs among Immigrant Women Using the Target-Association Rules Mining Method
    作者: Wu, Ming-Hseng Tseng ; Chuan-Chao Lin ; Chi-Chih Wang ; Hui-Ching
    贡献者: 中山醫學大學
    日期: 2022-12-01
    上传时间: 2022-10-21T03:37:07Z (UTC)
    出版者: 研發處育成中心暨產學合作組
    摘要: Many real world applications of association rule mining from large databases help users make good decisions. However, previous studies produced large numbers of irrelevant patterns, and much time was wasted in finding meaningful rules in large and sparse data sets. This study aims to efficiently discover interesting rules that connote causality between the antecedent and the consequence in a target pattern. In this paper, we propose an improved target-association rule mining method that can remove imprecise patterns, rapidly discover target rules, and apply the method to find associations between socio-economic characteristics and life care needs for new immigrant women in Taiwan. Experimental results show that the proposed method outperforms four other algorithms, namely, Apriori, Apriori-CAR, FP-growth, and DCIP, especially for lower supports. The results also confirm that our approach is practical and effective, with good performance for mining target-association rules in sparsely distributed databases.
    URI: https://ir.csmu.edu.tw:8080/handle/310902500/25129
    關聯: 中山醫學雜誌 ; 33卷2期 (2022 / 12 / 01) , P115 - 130
    显示于类别:[研發處] 期刊論文

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