| 动态数据挖掘技术在用户缴费信誉评估与预测的研究 |
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| 引用本文： | 高雅田,李春生,富宇,苗秀杰.动态数据挖掘技术在用户缴费信誉评估与预测的研究[J].科学技术与工程,2009,9(17). |
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| 作者姓名： | 高雅田 李春生 富宇 苗秀杰 |
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| 作者单位： | 大庆石油学院计算机与信息技术学院,大庆,163318 |
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| 摘 要： | 设计了应用于缴费业务领域的动态数据挖掘模型,并引入产生式地知识库系统.解决了动态数据挖掘的算法路径推理问题,并且从软件开发角度设计了动态数据挖掘系统的结构.基于该模型,为油田管理局供水公司开发了用户非信誉行为模式挖掘应用系统.
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| 关 键 词： | 动态数据挖掘 产生式系统 信誉行为挖掘 BP神经网络 决策树 |
Study of Dynamic Data Mining in Evaluating Reverse Charge Credit |
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| GAO Ya-tian,LI Chun-sheng,FU Yu,MIAO Xiu-jie.Study of Dynamic Data Mining in Evaluating Reverse Charge Credit[J].Science Technology and Engineering,2009,9(17). |
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| Authors: | GAO Ya-tian LI Chun-sheng FU Yu MIAO Xiu-jie |
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| Institution: | Schoal of Computer and Communicational Technology;Daging Petrol Insfrtute;Daqing 163618;P.R.China |
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| Abstract: | A dynamic data mining model is designed,which be applied to reverse the charge early warning,production is introduced system to resolve getting algorithm path and the structure of dynamic data mining system from software exploitation angles is designed.Using this model the data mining system of discredited activities of water service for petroleum administration water supply company is imple. |
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| Keywords: | dynamic data mining production system pattern of discredited activities BP algorithm decision tree |
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