教師資料查詢 | 類別: 期刊論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:Hybrid Feature Selection by Combining Filters and Wrappers
學年99
學期2
出版(發表)日期2011/07/01
作品名稱Hybrid Feature Selection by Combining Filters and Wrappers
作品名稱(其他語言)
著者Hsu, Hui-Huang; Hsieh, Cheng-Wei; Lu, Ming-Da
單位淡江大學資訊工程學系
出版者Kidlington: Pergamon
著錄名稱、卷期、頁數Expert Systems with Applications 38(7), pp.8144-8150
摘要Feature selection aims at finding the most relevant features of a problem domain. It is very helpful in improving computational speed and prediction accuracy. However, identification of useful features from hundreds or even thousands of related features is a nontrivial task. In this paper, we introduce a hybrid feature selection method which combines two feature selection methods – the filters and the wrappers. Candidate features are first selected from the original feature set via computationally-efficient filters. The candidate feature set is further refined by more accurate wrappers. This hybrid mechanism takes advantage of both the filters and the wrappers. The mechanism is examined by two bioinformatics problems, namely, protein disordered region prediction and gene selection in microarray cancer data. Experimental results show that equal or better prediction accuracy can be achieved with a smaller feature set. These feature subsets can be obtained in a reasonable time period.
關鍵字Feature selection;Filters;Wrappers;Support vector machine;Disordered protein;Microarray
語言英文
ISSN0957-4174
期刊性質國外
收錄於SCI
產學合作
通訊作者Hsieh, Cheng-Wei
審稿制度
國別英國
公開徵稿
出版型式紙本
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