基于HIVE数据仓库的新入网用户卖卡行为识别方法

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关键词：HIVE数据仓库；行为规则判别模型；特征行为画像；识别方法；卖卡行为doi：10.3969/J.ISSN.1672-7274.2025.11.031中图分类号：TD672；TP3 文献标志码：A 文章编码：1672-7274（2025）11-0102-03

Identification Method for Card Selling Behavior of New Network users Based on HIVEData Warehouse

CHENQiao

（China Mobile Communications Group Hubei Company Huanggang Branch， Huanggang 438ooo，China）

Summary： Some new users often engage in card seling activities in a covert manner， which increases the diffcultyof identifying and cracking down on such behavior.Inorder to effctivelyidentify abnormal behavior of new network users，this paper conducts research on the identification method ofcard selling behaviorof new network users based o the HIVE data warehouse.Firstly，according to the Hive data warehouse architecture，user behavior data procesing iscarriedout step bystep.Then，using the processduser behaviordata，anew network user characteristic behaviorportrait iscreated.Finalyextract multiple behaviorruleshighlyrelatedtocardseling behaviorfrom the user'scharacteristic behavior portrait，anddesignausercardselingbehaviorrecognition method basedonabehavior rule discrimination model.The experimental results show that this method can not only accurately clasify the abnormalbehavior datacategories of new network users，butalsoaccurately identifytheriskofcardselling behavior of new network users.

Keywords：HIVE data warehouse; behavior rule discrimination model; characteristic behavior portrait： identification method; selling cards

电信网络诈骗是目前高发且危害性极大的犯罪行为，诈骗者利用银行卡、电话卡等工具，通过多样化的手段在线上线下实施欺诈活动。（剩余3265字）