Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
864133 | Procedia Engineering | 2010 | 4 Pages |
Abstract
Situation for causing the high of times and the low of accuracy of text categorization because of many food features, raised construction of China’s grain output prediction model using feature selection rough set -based.Proved: construction of China’s grain output prediction model using feature selection rough set -based, the method compared to the previous method can achieve the purpose of dimensionality reduction, and its predictive value is particularly realistic.
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