15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
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 Type
Dr Grade
Email
أمير احمد
Ahmad, Amir
Investigator
Doctorate
amirahmad01@gmail.com
Sami حلواني
Halawani, سامي
Investigator
Doctorate
dr.halawani@gmail.com
ابراهيم البديوي
Albidewi, Ibrahim
Investigator
Doctorate
Files
File Name
Type
Description
36340.pdf
pdf
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