资源列表
Spatial-analysis-with-preference-specification-of
- Spatial analysis looks for statistically significant patterns in observed events that occur at specified locations. Most examples of spatial analysis consider aggregate characteristics over a number of coarsely defined regions rather than point pro
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
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.
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
Predicting-Housing-Value
- In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT), a non-linear analysis algorithm that is describ
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
New-tools-in-non-linear-modelling-and-prediction.
- In this paper we give an account of a new change of perspective in nonlinear modelling and prediction as applied to smooth systems. The core element of these developments is the Gamma test a non-linear modelling and analysis tool which allows u
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.
Internet-Threat-Detection--Prediction-and-Relevan
- With the development of Internet technology, the popularity of the malicious threat has grown beyond our imagination. The emergence of intelligent, sophisticated attack techniques makes the Internet services more vulnerable than ever, which b
Insider-threat-mitigation--preventing-unauthorize
- This paper investigates insider threat in relational database systems. It discusses the problem of inferring unauthorized information by insiders and proposes methods to prevent such threats. The paper defines various types of dependencies as
GAPatrol--An-Evolutionary-Multiagent-Approach-for
- In this work, we present a novel evolutionary multiagent-based simulation tool, named as GAPatrol. Such system is devoted to the specification of effective police patrol route strategies for coping with criminal activities happening in a given
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