Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities

Earth & Environmental Sciences

• crime 100%
• city 46%
• software 45%
• trend 41%
• analysis 22%
• simulation 18%
• data analysis 11%
• resource 7%
• test 5%

Social Sciences

• offense 54%
• software 47%
• trend 40%
• simulation 32%
• statistical significance 31%
• performance 19%
• interaction 13%
• programming 10%
• data analysis 10%
• time 9%
• experiment 8%
• event 7%
• resources 6%

Engineering & Materials Science

• Crime 99%
• Large dataset 90%
• Parallel algorithms 13%
• Scalability 11%
• Experiments 4%