Social media-based emergency management to detect earthquakes and organize civilian volunteers

Keyphrases

• Earthquake 100%
• Media-based 100%
• Social Media 100%
• Emergency Management 100%
• Geographical Location 66%
• Disaster Situation 66%
• Facility Location Problem 66%
• Support Vector Machine 33%
• Classification Problem 33%
• K-nearest 33%
• Exact Solutions 33%
• Time Performance 33%
• Cost Performance 33%
• Lifesaving 33%
• Process Optimization 33%
• Time-varying Data 33%
• Optimization Algorithm 33%
• Location Information 33%
• K-means 33%
• Voluntary Action 33%
• Disaster Events 33%
• Capacitated Facility Location 33%
• Twitter Posts 33%
• System Response 33%
• Twitter Data 33%
• Supply Location 33%
• Humanitarian 33%
• Initial Cost 33%
• Mean Density 33%
• Closest Facility 33%
• Density-based Spatial Clustering of Applications with Noise (DBSCAN) 33%
• Mean Shift 33%
• Individual Current 33%
• Naïve Bayes Algorithm 33%
• Relief Operations 33%
• CPLEX 33%
• Early Warning System 33%
• Facility Location Model 33%
• Rapid Response 33%

Computer Science

• Location Problem 100%
• Disaster Situation 100%
• Geographical Location 100%
• Process Optimization 50%
• Location Data 50%
• Early Warning System 50%
• Twitter Message 50%
• mean shift 50%
• Support Vector Machine 50%
• Classification Problem 50%
• Time Performance 50%
• Collected Data 50%
• Relief Operation 50%

Engineering

• Geographical Location 100%
• Collected Data 50%
• Simulation Result 50%
• Initial Cost 50%
• Classification Problem 50%
• Test Data 50%
• Relief Operation 50%
• Location Model 50%
• Nearest Neighbor 50%
• Support Vector Machine 50%
• Early Warning System 50%