| KNN算法在就业预测模型中的应用 |
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| 引用本文： | 吴静.KNN算法在就业预测模型中的应用[J].莆田学院学报,2013,20(2):60-63. |
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| 作者姓名： | 吴静 |
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| 作者单位： | 福州软件职业技术学院计算机系,福建福州,350002 |
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| 摘 要： | 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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| 关 键 词： | KNN算法 改进KNN算法 就业预测 数据挖掘 |
Application of the KNN Algorithm in Employment Forecasting Model |
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| WU Jing.Application of the KNN Algorithm in Employment Forecasting Model[J].journal of putian university,2013,20(2):60-63. |
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| Authors: | WU Jing |
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| Institution: | WU Jing(Computer Department,Fuzhou Software Technology Vocational College,Fuzhou Fujian 350002,China) |
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| Abstract: | The data mining technique of K-nearest neighbor method is used to research the application of data mining technique in the employment forecast.At the same time,several ways are proposed to improve the inadequacies of the traditional K-nearest neighbor method,mainly including the characteristic properties of weighted processing and the solution of %K value selection problem.Finally,in order to verify the effectiveness of the improved KNN algorithm,the traditional KNN algorithm and the improved KNN algorithm are compared according to the experimental results. |
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| Keywords: | KNN algorithm improved KNN algorithmem employment forecast data mining |
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