基于K-means优化算法的通信业务分析预测  

Communications Business Forecast Optimization Algorithm Based on K-means

作　　者：文凤[1] 李维旺[1] 马旗超[1] 侯维娜[1] 

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《电视技术》2013年第23期119-121,共3页Video Engineering

基　　金：国家科技重大专项(2010ZX03003008-004);重庆市教委项目(KJ100501);重庆邮电大学自然科学基金项目(A2011-15)

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。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.

关 键 词：通信业务预测 数据挖掘 K—means算法 

分 类 号：TN915[电子电信—通信与信息系统]