Proceedings of the 2013 International Conference on Advanced ICT and Education

A Method to Improve the Rate of Case Investigation Based on Multiple Linear Regression Model

Authors
Zhongfeng Guo, Jianhui Lv
Corresponding Author
Zhongfeng Guo
Available Online August 2013.
DOI
10.2991/icaicte.2013.116How to use a DOI?
Keywords
linear regression, case investigation, behavior attribute, data fitting
Abstract

In order to analyze the influence of people’s behavior attribute to crime, this paper uses multiple linear regression model, and data fit of the population and the number of criminal cases, the population and the years. Construct iteration model, and establish the relationship between population increase and key attributes. Experiment show when the population changes, key behavior property which affects the crime rates needs to readjust. This kind of mathematical model based on multiple linear regressions can be well used in case investigation, and achieves good results.

Copyright
© 2013, 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 2013 International Conference on Advanced ICT and Education
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icaicte.2013.116
ISSN
1951-6851
DOI
10.2991/icaicte.2013.116How to use a DOI?
Copyright
© 2013, 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  - Zhongfeng Guo
AU  - Jianhui Lv
PY  - 2013/08
DA  - 2013/08
TI  - A Method to Improve the Rate of Case Investigation Based on Multiple Linear Regression Model
BT  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 567
EP  - 570
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.116
DO  - 10.2991/icaicte.2013.116
ID  - Guo2013/08
ER  -