Exploration of geo-tagged photos through data mining approaches

Lee, Ickjai, Cai, Guochen, and Lee, Kyungmi (2014) Exploration of geo-tagged photos through data mining approaches. Expert Systems with Applications, 41 (2). pp. 397-405.

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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.

Item ID: 28226
Item Type: Article (Research - C1)
ISSN: 0957-4174
Keywords: clustering; association rules mining; geo-tagged photo; points-of-interest
Date Deposited: 21 Aug 2013 00:28
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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