On a clustering-based mining approach with labeled semantics for significant place discovery

Keyphrases

• Cluster-based 100%
• Place Discovery 100%
• Significant Places 100%
• Clustering Results 66%
• Attribute Selection 66%
• Accuracy Improvement 33%
• Data Availability 33%
• Feature Selection 33%
• Moving Objects 33%
• Geographic Information 33%
• Trajectory Data 33%
• Clustering Methods 33%
• Gaussian Distribution 33%
• Multi-fold 33%
• Real-life Dataset 33%
• Mobile Device Usage 33%
• Temporal Semantics 33%
• Temporal Trajectory 33%
• Spatial Semantics 33%
• Trajectory Points 33%
• Multi-label Clustering 33%
• Self-adaptive Algorithm 33%
• Technical Benefit 33%
• Grubbs Criterion 33%
• GPS Data Collection 33%
• High Redundancy 33%
• Spatial Trajectory 33%

Computer Science

• Clustering Result 100%
• Attribute Selection 100%
• Mobile Device 50%
• Experimental Result 50%
• Feature Selection 50%
• Trajectory Data 50%
• Adaptive Algorithm 50%
• Application Scenario 50%
• Geographic Data 50%
• Data Availability 50%
• Point Trajectory 50%