Application of Web Browsing Records in Anti Terrorism

DOI

10.2991/icessms-16.2017.21How to use a DOI?

Keywords

counter-terrorism; accurate identification; potential members; machine learning; KNN; SVM

Abstract

Potential terrorist organizations to develop accurate identification of objects is a direction of counter-terrorism work. Wen expounded based on personal web browsing history, human is used to determine the key way by KNN algorithm for text classification, according to browse the document classification results of using the SVM algorithm to abnormal discriminant method to determine the development potential terrorist organization object. The article also expounds the specific implementation process is important and difficult.

Copyright

© 2017, 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  - Weizheng Ren
PY  - 2017/02
DA  - 2017/02
TI  - Application of Web Browsing Records in Anti Terrorism
BT  - Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
PB  - Atlantis Press
SP  - 93
EP  - 98
SN  - 2352-5398
UR  - https://doi.org/10.2991/icessms-16.2017.21
DO  - 10.2991/icessms-16.2017.21
ID  - Ren2017/02
ER  -