Simulation on potential risk mining model of underlying network dormant data

DOI

10.2991/amcce-15.2015.209How to use a DOI?

Keywords

data mining; risk; the underlying network;

Abstract

This paper focuses on the potential risk mining method of underlying network dormant data, a potential risk mining method based on bat algorithm optimization BP neural network is put forward. The BP neural network parameter is coded as the individual of bat, and the accuracy of the potential risk mining is viewed as the individual fitness function, then through the simulation of bat flight process to find the optimal parameters of BP neural network, finally according to the optimal parameters to establish the potential risk mining model of underlying network dormant data. The experimental results show that, this algorithm can effectively improve the mining efficiency, and further reduce the error.

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/).

Download article (PDF)

TY  - CONF
AU  - Jin Wang
AU  - WanRu Chen
PY  - 2015/04
DA  - 2015/04
TI  - Simulation on potential risk mining model of underlying network dormant data
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 618
EP  - 622
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.209
DO  - 10.2991/amcce-15.2015.209
ID  - Wang2015/04
ER  -