Title :
Feature selection based on bagging ensemble learning algorithm
Author :
Yan, Wang ; WeiJuan, Li ; Rui, Li ; Xuyang, Wang
Author_Institution :
College of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China
Abstract :
Generalization ability is a principal issue in the field of machine learning. Feature selection is a method that can improve generalization ability of learning algorithm. Through measuring feature count measure (FCM) in decision table, select the feature which depended strongly on classification attribute. Based on the above, Feature count measure based bagging ensemble learning algorithm is proposed. Experiment results show that the proposed algorithm is effective to obtain classification rule.
Keywords :
Bagging; Ensemble Learning; Feature Count Measure; Feature Selection;
Conference_Titel :
Wireless Mobile and Computing (CCWMC 2009), IET International Communication Conference on
Conference_Location :
Shanghai, China