基于分布参数模型的通信网络数据挖掘加速算法  

An Accelerated Algorithm for Data Mining in Communication Networks Based on Distributed Parameter Models

作　　者：段晓辉 郑真真 DUAN Xiaohui;ZHENG Zhenzhen(Huanghe Jiaotong University Basic Teaching Department,Jiaozuo,Henan,454950,China)

机构地区：[1]黄河交通学院基础教学部,河南焦作454950

出　　处：《长江信息通信》2024年第3期55-57,共3页Changjiang Information & Communications

摘　　要：为优化通信网络数据挖掘效果,开展了基于分布参数模型的通信网络数据挖掘加速算法研究。首先,预处理通信网络数据,消除通信网络数据噪声影响、填补数据缺失值,获取完整数据。其次,选取待加速挖掘的通信网络数据候选属性子集。采用基于统计的通信网络异常点挖掘方法,挖掘通信网络数据异常点。在此基础上,设计通信网络数据挖掘加速算法内容,将挖掘加速聚类分析结果作为最终的数据挖掘结果,全方位、多维度地实现数据挖掘加速目标。实验结果表明,提出的算法应用后,通信网络数据挖掘速度始终高于对照组,加速效果较好。In order to optimize the effectiveness of communication network data mining,an accelerated algorithm for communication network data mining based on distributed parameter models was studicd.Firstly,preprocess communication nctwork data,climinate the impact of communication network data noise,fill in missing data values,and obtain complete data.Secondly,select the subset of candidate attributes of communication network data to be accelerated for mining.Using a statistical based communication nctwork outlicr mining method to mine communication network data outliers.On this basis,design the content of the communication network data mining acceleration algorithm,and use the mining acceleration clustering analysis results as the final data mining results to achieve the data mining acceleration goal in all aspects and multi-dimensions.The experimental results show that after the application of the proposed algorithm,the data mining speed of the communication network is always higher than that of the control group,and the acceleration effect is good.

关 键 词：分布参数模型 通信网络 加速 数据挖掘 

分 类 号：TN911[电子电信—通信与信息系统]