Document Details

Document Type : Article In Journal 
Document Title :
Novel ensemble methods for regression via classification problems
طرق جديدة لفرقة الانحدار عبر مشاكل التصنيف
 
Subject : Computer Science 
Document Language : English 
Abstract : 6. Regression via classification (RvC) is a method in which a regression problem is converted into a classification problem. A discretization process is used to covert continuous target value to classes. The discretized data can be used with classifiers as a classification problem. In this paper, we use a discretization method, Extreme Randomized Discretization (ERD), in which bin boundaries are created randomly to create ensembles. We present two ensemble methods for RvC problems. We show theoretically that the proposed ensembles for RvC perform better than RvC with the equal-width discretization method. We also show the superiority of the proposed ensemble methods experimentally. Experimental results suggest that the proposed ensembles perform competitively to the method developed specifically for regression problems. 
ISSN : 6396-6401 
Journal Name : Expert Systems with Applications 
Volume : 39 
Issue Number : 7 
Publishing Year : 1433 AH
2012 AD 
Article Type : Article 
Added Date : Wednesday, November 6, 2013 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أمير احمدAhmad, Amir InvestigatorDoctorateamirahmad01@gmail.com
Sami حلوانيHalawani, سامي InvestigatorDoctoratedr.halawani@gmail.com
ابراهيم البديويAlbidewi, Ibrahim InvestigatorDoctorate 

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