Exploration of geo-tagged photos through data mining approaches

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• 作者：Ickjai Lee ; Guochen Cai ; Kyungmi Lee
• 关键词：Clustering ; Association rules mining ; Geo-tagged photo ; Points-of-interest
• 刊名：Expert Systems with Applications
• 出版年：2014
• 出版时间：1 February, 2014
• 年：2014
• 卷：41
• 期：2
• 页码：397-405
• 全文大小：3552 K

文摘

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.