【摘要】 在对数据挖掘技术进行介绍的基础上提出将基于K-means的预测算法应用到无线移动通信业务预测中,将小区范围内的多维业务记录进行分类,而后又利用分类所挖掘的知识进行预测。并且利用计算机辅助分析方法进行性能分析,结果表明该方法与统计方法相比较精度有明显的提高。更多还原

【Abstract】 Based on the introduction of data mining techniques,the prediction based on K-means algorithm is applied to a wireless mobile communication services forecast,the multidimensional business records within the cell are classified. And then,the mined knowledge are used to predict. Performance analysis is done by using computer-aided analysis,the results show that the method has significantly improved accuracy compared with statistical methods.更多还原