Exploration of geo-tagged photos through data mining approaches
Expert Systems with ApplicationsPublished 6 August 2013
Ickjai Lee, Guochen Cai, Kyungmi Lee
Citations77
SJR quartileQ1
SJR score1.85
SNIP2.55
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TL;DR
This research proposes a framework that is used to extract associative points-of-interest patterns from geo-tagged photos in Queensland, Australia, a popular tourist destination hosting the great Barrier Reef and tropical rain forest.
Abstract
With the development of web technique and social network sites human now can produce information, share with others online easily. Photo-sharing website, Flickr, stores huge number of photos where people upload and share their pictures. This research proposes a framework that is used to extract associative points-of-interest patterns from geo-tagged photos in Queensland, Australia, a popular tourist destination hosting the great Barrier Reef and tropical rain forest. This framework combines two popular data mining techniques: clustering for points-of-interest detection, and association rules mining for associative points-of-interest patterns. We report interesting experimental results and discuss findings.
Keywords
Computer Science
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