Exploration of geo-tagged photos through data mining approaches

Authors:
Ickjai Lee;Guochen Cai;Kyungmi Lee
Affiliations:
-;-;-
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

Citing 13
Cited 1

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Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method

Expert Systems with Applications: An International Journal

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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.