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首页> 外文会议>International Conference on Machinery, Materials and Information Technology Applications >Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning
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Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning

机译：基于基于案例推理的互联网大数据信息分析与电源智能自动化风险预测

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The development of the Internet makes it easier to get data. However, it is more urgent to obtain effective information on the large data which is redundant. Based on the risk prediction system of power intelligent automation, this paper tries to solve the problems of enterprise risk management, and tries to make human beings free from the heavy human and mental labor. In order to solve the problem of large data analysis, this paper constructs a close triangle case based reasoning model based on the data mining technology of NT-SMOTE and the case based reasoning technology. Compare with NT-MDA, NT-Logit, NT-Probit, NT-DT, NT-SVM and other methods, the experimental results show that NT-CBR is more effective than other methods of intelligent risk prediction.
机译：互联网的发展使得更容易获取数据。 但是，更迫切地获取有关冗余数据的有效信息。 基于电力智能自动化风险预测系统，本文试图解决企业风险管理问题，并试图使人类免于沉重的人类和精神劳动力。 为了解决大数据分析的问题，基于NT-SMOTE数据挖掘技术的基于特写三角形案例推理模型及基于案例的推理技术。 与NT-MDA，NT-Logit，NT探针，NT-DT，NT-SVM等方法进行比较，实验结果表明，NT-CBR比其他智能风险预测方法更有效。

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