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Application of the KNN Algorithm in Employment Forecasting Model
Author(s): WU Jing
Pages: 60-
63
Year: 2013
Issue:
2
Journal: Journal of Putian University
Keyword: KNN算法; 改进KNN算法; 就业预测; 数据挖掘;
Abstract: 应用K-最邻近方法数据挖掘技术,研究数据挖掘技术在就业预测中的应用.同时,针对传统的K-最邻近方法的几个不足之处提出了相应的改进办法,主要包括特征属性的加权处理及K值选择问题的解决.最后,通过实验结果对传统的KNN算法与改进的KNN算法进行比较,以验证改进的KNN算法的有效性.
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