Spatio-temporal data mining: A survey of problems and methods

Keyphrases

• Spatio-temporal Data 100%
• Spatio-temporal Data Mining 100%
• Mining Communities 50%
• Social Sciences 25%
• Epidemiology 25%
• Neuroscience 25%
• Climate Sciences 25%
• Earth Sciences 25%
• Computational Approach 25%
• MHealth 25%
• Predictive Learning 25%
• Health Sciences 25%
• Large Volume 25%
• Relational Data 25%
• Spatial Attributes 25%
• Major Diagnostic Categories 25%
• Change Detection 25%
• Frequent Pattern Mining 25%
• Anomaly Detection 25%
• Actual Measurement 25%
• Temporal Attributes 25%
• Category Clustering 25%
• Correlation Mining 25%

Computer Science

• Spatiotemporal Data 100%
• Temporal Data Mining 100%
• Data Mining 50%
• Relational Data 12%
• Anomaly Detection 12%
• Actual Measurement 12%
• frequent pattern mining 12%
• Computational Approach 12%

Mathematics

• Data Mining 100%
• Climate Science 12%
• Computational Approach 12%
• Clustering 12%
• Relevant Data 12%
• Relational Data 12%