An Analysis Model of Network Illegal Fund-raising Based on Advertisement Content Mining

DOI

10.2991/cmsa-18.2018.12How to use a DOI?

Keywords

network illegal fund-raising; abnormal monitoring; risk assessment; content mining

Abstract

Network Illegal fund-raising is a social problem and is more subtle and destructive. Government regulators should explore more effective control methods for early discovery. At the preliminary stage of the illegal fund-raising, in order to promote the investment effect and producing the spread effect in the network, it need to do more propagandizing activity. Investment advertisement content with illegal fund-raising risk may some certain characteristics. Risk mining is carried out for the advertisement content in this study. The advertisement content risk is defined as three factors: risk loss, risk probability and risk diffusion speed. Through the establishment of an illegal fund-raising advertisement content anomaly model, the illegal fund-raising behavior can be detected by the method in the early stage.

Copyright

© 2018, 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  - Jianying Xiong
PY  - 2018/04
DA  - 2018/04
TI  - An Analysis Model of Network Illegal Fund-raising Based on Advertisement Content Mining
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 48
EP  - 51
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.12
DO  - 10.2991/cmsa-18.2018.12
ID  - Xiong2018/04
ER  -