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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The advent of photo-sharing services results in massive user-generated geo-tagged photos. These photos implicitly and explicitly indicate points-of-interest and their associations. This study aims to combine two data mining techniques: clustering and association rules mining to mine areas of attraction, and their associative patterns. We analyze photos from Flickr in the area of Queensland, Australia, a popular tourist destination hosting the Great Barrier Reef and tropical rain forest. We report interesting experimental results and discuss findings.