Application of adaboost algorithm and immune algorithm in telecommunication fraud detection

DOI

10.2991/ncce-18.2018.27How to use a DOI?

Keywords

Adaboost algorithm,Artificial immune algorithm,Fraud detection

Abstract

Fraud detection is one of the biggest challenges facing the telecommunication industry now and in the future，The fight against fraud and anti-fraud has also reached a new stage. Finding a time-sensitive fraud detection method is an important way for operators to solve this problem. In this article, To solvet the low accuracy of the general algorithm, an adaptive improvement algorithm is proposed. The common algorithms are combined and enhanced, which greatly improves the accuracy of the detection results.Here we take the artificial immune algorithm as an example. The main application is combining machine learning and immune algorithm to apply to telecommunication fraud detection. The combination of the two is more conducive to pushing research on telecommunication fraud to a new stage for the future telecommunication industry.

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  - Bing Wu
AU  - Mengtao Li
AU  - Chunlai Zhou
PY  - 2018/05
DA  - 2018/05
TI  - Application of adaboost algorithm and immune algorithm in telecommunication fraud detection
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.27
DO  - 10.2991/ncce-18.2018.27
ID  - Wu2018/05
ER  -