| 可视化数据挖掘在信贷欺诈检测中的应用 |
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| 引用本文： | 童新安,刘永,王云鹏.可视化数据挖掘在信贷欺诈检测中的应用[J].宜春学院学报,2010,32(4):69-71. |
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| 作者姓名： | 童新安 刘永 王云鹏 |
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| 作者单位： | 洛阳理工学院,数理部,河南,洛阳,471023 |
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| 摘 要： | 检测和防止信贷欺诈行为对于规范和维护合理的金融秩序具有重要意义.对于银行中的信贷行为,应用异常检测和人工神经网络等数据挖掘方法,检测和分析其中可能存在的欺诈行为;借助于Clementine软件对信贷数据进行提取与处理,实现了数据挖掘过程的可视化.应用实例表明,该方法直观并且有效.
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| 关 键 词： | 异常检测 人工神经网络 欺诈检测 可视化 |
Application of Visual Data Mining to the Study on Fraud Detection in Fiduciary Loan |
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| TONG Xin-an,LIU Yong,WANG Yun-peng.Application of Visual Data Mining to the Study on Fraud Detection in Fiduciary Loan[J].Journal of Yichun University,2010,32(4):69-71. |
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| Authors: | TONG Xin-an LIU Yong WANG Yun-peng |
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| Institution: | TONG Xin-an,LIU Yong,WANG Yun-peng(Dept.of Math & Phys.,Luoyang Institute of Science , Technology,Luoyang 471023 China) |
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| Abstract: | In order to standardize and safeguard the financial order,it is important to detect and deter fraud behavior in fiduciary loan.This paper makes a study on fraud detection in fiduciary loan.Firstly,Data mining methods anomaly detection and artificial neural networks are used to detect and analyze the possible fraud behaviors in bank fiduciary loan.Furthermore,with the help of data mining software SPSS Clementine,the loan data is extracted and processed,and the visual process of data mining is implemented.Fin... |
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| Keywords: | Clementine |
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