Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning

DOI

10.2991/icmmita-15.2015.213How to use a DOI?

Keywords

internet big data analysis; power intelligent automation risk prediction; NT-CBR

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuhui Xu
AU  - Xiaoyun Tian
PY  - 2015/11
DA  - 2015/11
TI  - Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1159
EP  - 1163
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.213
DO  - 10.2991/icmmita-15.2015.213
ID  - Xu2015/11
ER  -