Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss.
Guangyin JinQi WangXia ZhaoYanghe FengQing ChengJincai HuangPublished in: IEEE BigData (2019)
Keyphrases
- criminal networks
- crime prevention
- law enforcement
- crime investigation
- data mining and visualization
- crime data
- crime analysis
- peer to peer
- network traffic
- visual analytics
- modus operandi
- public safety
- wireless sensor networks
- communication networks
- network structure
- criminal activities
- online gaming
- social network analysis
- multi agent
- image processing
- data mining
- complex networks
- centrality measures
- terrorist networks
- short term
- weather forecasting
- social networks