教師資料查詢 | 類別: 期刊論文 | 教師: 陳昆皇 KUN-HUANG CHEN (瀏覽個人網頁)

標題:An improved artificial immune recognition system with the opposite sign test for feature selection
學年103
學期1
出版(發表)日期2014/11/01
作品名稱An improved artificial immune recognition system with the opposite sign test for feature selection
作品名稱(其他語言)
著者K.-J. Wang; K.-H. Chen; Melani-Adrian Angelia
單位
出版者
著錄名稱、卷期、頁數Knowledge-Based Systems 71,pp.126-145
摘要This paper presents a novel method for feature selection by proposing an improved artificial immune recognition system (IAIRS) using the opposite sign test (OST). We use the nearest neighbor algorithm as the classifier. Forty-four data sets from the UCI and KEEL repository and from eight benchmark gene expression micro-array data sets were collected for evaluation purposes. This evaluation measures the effectiveness of the proposed approach. To investigate the capability of IAIRS, we compared our result with several features selection methods and classifier based methods. Moreover, we compared our results with the results obtained by several well-known algorithms from the previous literature. The performance measures were based on accuracy and the Cohen Kappa. A non-parametric statistical test was used to justify the performance of our proposed method. We confirmed that IAIRS is significantly better than other methods.
關鍵字Artificial immune recognition system;Feature selection;Opposite sign test;Non-parametric test;Metaheuristic
語言英文
ISSN1872-7409;0950-7051
期刊性質國外
收錄於SCI;
產學合作
通訊作者K.-J. Wang
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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