Document Details
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Document Type |
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Article In Journal |
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Document Title |
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Novel ensemble methods for regression via classification problems طرق جديدة لفرقة الانحدار عبر مشاكل التصنيف |
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Subject |
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Computer Science |
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Document Language |
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English |
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Abstract |
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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. |
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ISSN |
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6396-6401 |
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Journal Name |
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Expert Systems with Applications |
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Volume |
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39 |
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Issue Number |
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7 |
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Publishing Year |
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1433 AH
2012 AD |
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Article Type |
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Article |
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Added Date |
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Wednesday, November 6, 2013 |
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Researchers
| 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 | |
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