Decision tree ensemble construction incorporating feature values modification and random subspace method

Akhand, M. A. H and Rahman, M.M. Hafizur and Murase, K. (2014) Decision tree ensemble construction incorporating feature values modification and random subspace method. In: 3rd International Conference on Informatics, Electronics & Vision (ICIEV), 23rd-24th May 2014, Dhaka, Bangladesh.

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Abstract

The goal of ensemble construction with several classifiers is to achieve better generalization ability over individual classifiers.An ensemble method produces diverse classifiers and combines their decisions for ensemble’s decision. A number of methods have been investigated for constructing ensemble in which some of them train classifiers with the generated patterns. This study investigates a decision tree ensemble method incorporating some generated patterns with random subspace method (RSM). The proposed hybrid ensemble method were evaluated on several benchmark classification problems, and was found to achieve performance better than or competitive with related conventional methods.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6724/36732 (ISBN: 978-1-4799-5179-6, DOI: 10.1109/ICIEV.2014.6850822)
Uncontrolled Keywords:	Decision tree ensemble,diversity, feature values modification, generalization, pattern generation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. M.M. Hafizur Rahman
Date Deposited:	28 May 2014 16:11
Last Modified:	12 Jun 2018 15:18
URI:	http://irep.iium.edu.my/id/eprint/36732

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