Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Communication Records Analysis using Gray Prediction

Authors
Xiaofei Sun
Corresponding Author
Xiaofei Sun
Available Online May 2015.
DOI
10.2991/asei-15.2015.225How to use a DOI?
Keywords
communication records; personal privacy; combat crime; grey correlation degree; grey prediction
Abstract

Communication records are personal privacy, while the reasonable use of communication records can combat crime and protect the interests of citizens. This paper tries to find a balance between the two and predict the occurrence of criminal activities with the least communication records. A method is proposed to identify key contacts using grey correlation degree and predict that that something is off using the grey prediction model. Firstly, key contacts were identified according to communication frequency and other influencing factors, and then the occurrence of criminal activities was predicted using the grey prediction model. The experiments showed that this method is simple and it can predict criminal activities rapidly and accurately.

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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Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/asei-15.2015.225
ISSN
2352-5401
DOI
10.2991/asei-15.2015.225How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiaofei Sun
PY  - 2015/05
DA  - 2015/05
TI  - Communication Records Analysis using Gray Prediction
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1136
EP  - 1140
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.225
DO  - 10.2991/asei-15.2015.225
ID  - Sun2015/05
ER  -