| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6922031 | Computers, Environment and Urban Systems | 2013 | 14 Pages |
Abstract
⺠A spatial data mining framework for analyzing crime hotspots is introduced. ⺠A novel model (HOT) is developed to optimize the identification of crime hotspots. ⺠A similarity measure method is introduced to summarize GDPatterns. ⺠GDPattern clusters are used to study the characteristics of crime related variables.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Dawei Wang, Wei Ding, Henry Lo, Melissa Morabito, Ping Chen, Josue Salazar, Tomasz Stepinski,