Mining Points-of-Interest Association Rules from Geo-tagged Photos
Published 1 January 2013
Ickjai Lee, Guochen Cai, Kyungmi Lee
Citations35
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TL;DR
This study aims to combine two data mining techniques: clustering and association rules mining to mine areas of attraction, and their associative patterns from Flickr in the area of Queensland, Australia, a popular tourist destination hosting the Great Barrier Reef and tropical rain forest.
Abstract
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.
Keywords
Computer Science
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