A Hybrid Grid-based Method for Mining Arbitrary Regions-of-Interest from Trajectories
Proceedings of Workshop on Machine Learning for Sensory Data Analysis
Expert Systems with Applications: An International Journal
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Millions of geo-tagged photos are becoming available due to the widespread of photo-sharing websites. These social medias capture attractive points-of-interest and contain interesting photo-taking patterns. Massive amount of these user-oriented data produces new challenges and understanding people's photo-taking behavior is of great importance for local tourism-related businesses. This paper analyzes geo-tagged photos from Flickr for Queensland, a tourism-intensive and the second largest state in Australia. We report interesting points-of-interest patterns and discuss these findings.