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 en
ISSN 0957-4174
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 GBR
公開徵稿
出版型式 紙本
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