Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Analyzing and Predicting Spatial Crime Distribution Using Crowdsourced and Open Data
the hotspot matrix : a framework for the spatio - temporal targeting of crime reduction .
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
IC-CRIME : A Collaborative , Web-Based , 3 D System for the Investigation , Analysis , and Annotation of Crime Scenes
Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.
A decision support system: Automated crime report analysis and classification for e-government
Crime Analysis Using K-Means Clustering
Criminal network analysis and visualization
Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation
Aging out of crime: exploring the relationship between age and crime with agent based modeling
CrimeNet explorer: a framework for criminal network knowledge discovery
From mobile phone data to the spatial structure of cities
why crime doesn ’ t pay : locating criminals through geographic profiling control .
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
Kernel Density Estimation of traffic accidents in a network space
Determining Optimal Police Patrol Areas with Maximal Covering and Backup Covering Location Models
Social Area Analysis , Data Mining , and GIS
GeoCrowd: enabling query answering with spatial crowdsourcing
A Comparative Study of Classification Algorithms using Data Mining: Crime and Accidents in Denver City the USA
Network Density Estimation: A GIS Approach for Analysing Point Patterns in a Network Space
Crime Mapping in Nigeria Using GIS
The Role of Implicit Argumentation in Nominal SRL
Heuristic Approaches to the Controller Placement Problem in Large Scale SDN Networks
ti - 6al - 4v triply periodic minimal surface structures for bone implants fabricated via selective laser melting .
LSVC2017: Large-Scale Video Classification Challenge
A Learned Representation of Artist-Specific Colourisation