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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xie Ming Xiao Xinping |
| Copyright Year | 2009 |
| Description | Author affiliation: Science Department, Wuhan University of Technology, Wuhan 430063, Hubei, China (Xie Ming) |
| Abstract | In this paper, four kinds of typical discretization algorithms were comparatively analyzed from two aspects using examples: one referred to the variable quality of classification and accuracy of approximation under different parameter, the other was the similarity degrees between reducted variable sets and the original variable set. On determination of reducted variable sets, the reduction was regarded as multi-objective optimization problem, which was solved by the genetic algorithm, and the optimal reducted variable sets were found through including degrees. Finally, the consistent conclusion on preference of discretization algorithms was gained. |
| Starting Page | 1434 |
| Ending Page | 1438 |
| File Size | 590860 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424449149 |
| DOI | 10.1109/GSIS.2009.5408138 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Databases Set theory Approximation algorithms Entropy Data mining Intelligent systems Information analysis Information systems Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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