Improving the Performance of Association Classifiers by Class Prioritization
學年 100
學期 2
出版（發表）日期 2012-02-01
作品名稱 Improving the Performance of Association Classifiers by Class Prioritization
作品名稱（其他語言）
著者 Chen, Chunhao; Chiang, Dingan; Chen, Chihyang
單位 淡江大學資訊工程學系
出版者 Bethel: Binary Information Press
著錄名稱、卷期、頁數 Journal of Computational Information Systems 8(4), pp.1697-1712
摘要 Although different associative classification algorithms have been proposed, as pointed out by [8], none of the available associative algorithm considers the rule dependence problem that will directly influence the classification accuracy of the associative classifier. Since finding the optimal execution order of class association rules (CARs) is a combinational problem, in this paper, instead of finding the optimal execution order of CARs, we propose a polynomial time algorithm to re-rank the execution order of CARs by class priority to reduce the influence of the rule dependency problem. Consequently, the performance (the classification accuracy and recall rate) of the associative classification algorithm can be improved. The experimental results show that the association classifier with our method can get better classification result than that of the association classifier without considering the rule dependence problem.
關鍵字 Associative Classification Algorithms; Association Rule; Ranking; Rule Dependency
語言 en_US
ISSN 1553-9105
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Chen, Chunhao
審稿制度 是
國別 USA
公開徵稿
出版型式 ,紙本
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