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Survey
- 网络安全课的reading，一些报告。英文的。-2000-2008_CSI-FBI Computer Crime and Security Survey
Discrete-choice-analysis-of-spatial-attack-sites.
- This paper presents an algorithm for the complete specification of multinomial discrete choice models to predict the spatial preferences of attackers. The formulation employed is a modification of models previously applied in transportation flo
EFFECTIVENESS-OF-SUPPORT-VECTOR-MACHINE-FOR-CRIME
- Crime hot-spot location prediction is important for public safety. The output from the prediction can provide useful information to improve the activities aimed at detecting and preventing safety and security problems. Location prediction is a sp
Mapping-crime--Understanding-hot-spots
- Much of crime mapping is devoted to detecting high-crime-density areas known as hot spots. Hot spot analysis helps police identify high-crime areas, types of crime being committed, and the best way to respond.
On-the-application-of-fuzzy-clustering-for-crime-
- One of the fundamental challenges in crime mapping and analysis is pattern recognition. Efforts and methods to detect crime hot-spots, or geographic areas of elevated criminal activity, are wide ranging
Predicting-the-geo-temporal-variation-of-crime-an
- Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime inc
Prediction-of-past-unsolved-terrorist-attacks
- In this study, a novel model is proposed to predict perpetuators of some terrorist events which are remain unsolved. The CPM learns from similarities between terrorist attacks and their crime attributes then puts them in appropriate clusters.
Prediction-of-Series-Criminals--An-Approach-Based
- In our model, firstly, we predict the residence of the offender based on the locations of the last crime scenes with three methods (distance analysis: the location that has the shortest distance to each crime site, circle fitting, probability t