Prediction of Geographical Criminal's Anchor Point Based on Bayesian-Grid Search

Ya Wen Yan; Xin Zhong Lu; Ji Xian Meng; Yi Jia Lu

doi:10.4028/www.scientific.net/AMR.566.604

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 566Prediction of Geographical Criminal's Anchor Point...

Prediction of Geographical Criminal's Anchor Point Based on Bayesian-Grid Search

Abstract:

Two new methodologies are established based on existing frameworks. The Bayesian model take ages, intellectual capability, transportation into consideration to find the offender’s anchor point. The grid search model investigation start with the highest score grid cell first for investigation and proceed down the list of grid cells sorted by score, which implement searching according to simulated annealing program . Making use of two different models we generate an integrated model and test their reliability according to historical serial crime samples.

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Periodical:

Advanced Materials Research (Volume 566)

Pages:

604-607

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.566.604

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Online since:

September 2012

Authors:

Ya Wen Yan, Xin Zhong Lu, Ji Xian Meng, Yi Jia Lu

Keywords:

Anchor Point, Bayesian, Grid Search, Simulated Annealing Program

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References

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