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电信欺诈行为的聚类研究
引用本文:杨璀琼,江红,余晓磊,周雁. 电信欺诈行为的聚类研究[J]. 计算机与数字工程, 2010, 38(6): 99-101,160
作者姓名:杨璀琼  江红  余晓磊  周雁
作者单位:华东师范大学信息学院计算中心,上海,200062
摘    要:针对海量电信数据的聚类问题,利用粗集中的知识简化方法,减少属性的数量,提取主要的特征属性,并结合性能优良的模糊Kohonen聚类网络,提出了一种新的电信欺诈行为的检测模型,采用Microsoft SQL2005和VC++6.0技术,利用电信运营商提供的真实数据对该模型进行验证,实验结果表明,基于粗集神经网络方法提出的模型快速有效且具有较高的准确率。

关 键 词:聚类  电信欺诈  模糊Kohonen  粗集神经网络

Cluster Analysis of Telecom Fraud
Yang Cuiqiong,Jiang Hong,Yu Xiaolei,Zhou Yan. Cluster Analysis of Telecom Fraud[J]. Computer and Digital Engineering, 2010, 38(6): 99-101,160
Authors:Yang Cuiqiong  Jiang Hong  Yu Xiaolei  Zhou Yan
Affiliation:Yang Cuiqiong Jiang Hong Yu Xiaolei Zhou Yan(Department of Computer Center,East China Normal University,Shanghai 200062)
Abstract:This paper combines the rough set theory and neural network for the problem of massive telecom data clustering problem,that is,using the simplified method of rough sets to reduce the number of attributes and extract the main features combining with excellent performance of the fuzzy Kohonen clustering network,a new telecommunications fraud detection model is presented.The model is validated through the data provided by the telecom carriers.The experimental results show that the model is efficient and accurate.
Keywords:clustering  telecommunications fraud  fuzzy Kohonen  rough sets
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