摘要
违规短信是诈骗分子的温床,亟须严格管控。文章提出了基于数据挖掘的违规短信自动识别算法设计,通过决策树分类算法技术进行违规短信判决,构建违规短信自动识别算法模型,设计模型系统的架构生成、指标属性以及工作流程。实验分析,利用基于数据挖掘技术的违规短信自动识别算法准确率虽存在一定的波动性,违规短信自动识别的准确率为96.42%,但能够较好地识别疑似违规短信,实现有效识别与控制违规短信用户,高效治理违规短信现象的终极目标。
Illegal SMS is the hotbed of fraudsters,which needs to be strictly controlled.Therefore,an automatic identification algorithm of illegal SMS based on data mining is proposed.Through the decision tree classification algorithm technology,we can judge the illegal short messages,build the automatic recognition algorithm model of illegal short messages,and design the architecture generation,index attributes and workflow of the model system.Through experimental analysis,although the accuracy rate of the automatic recognition algorithm of illegal short messages based on data mining technology has certain fluctuations,the accuracy rate of automatic recognition of illegal short messages is 96.42%,which can better identify suspected illegal short messages,realize the ultimate goal of effectively identifying and controlling illegal short message users,and effectively manage the phenomenon of illegal short messages.
作者
姚跃
Yao Yue(Changsha Vocational&Technical College,Changsha 410217,China)
出处
《无线互联科技》
2023年第3期114-117,共4页
Wireless Internet Technology
关键词
数据挖掘
决策树
违规短信
信息自动识别
data mining
decision tree
illegal SMS
automatic information identification
作者简介
姚跃(1973-),男,湖南长沙人,副教授,硕士,研究方向:大数据技术,信息安全。
