Mining points-of-interest association rules from geo-tagged photos

Conference Publication ResearchOnline@JCU
Lee, Ickjai;Cai, Guochen;Lee, Joanne
Ickjai LeeKyungmi Joanne Lee
Abstract

The advent of photo-sharing services results in massive user-generated geo-tagged photos. These photos implicitly and explicitly indicate points-ofinterest 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.

Journal

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Publication Name

46th Annual Hawaii International Conference on System Sciences

Volume

46

ISBN/ISSN

1530-1605

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Pages Count

9

Location

Maui, Hawaii

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publisher Url

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Publisher Location

Piscataway, NJ, USA

Publish Date

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Url

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Date

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EISSN

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DOI

10.1109/HICSS.2013.401