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

Lee, Ickjai, Cai, Guochen, and Lee, Joanne (2013) Mining points-of-interest association rules from geo-tagged photos. In: Proceedings of the Annual Hawaii International Conference on System Sciences (46) pp. 1580-1588. From: 46th Annual Hawaii International Conference on System Sciences, 7-10 January 2013, Maui, Hawaii.

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DOI: 10.1109/HICSS.2013.401

View at Publisher Website: http://dx.doi.org/10.1109/HICSS.2013.401

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.


Item ID:	27532
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-4673-5933-7
ISSN:	1530-1605
Date Deposited:	13 Jun 2013 22:35
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080608 Information Systems Development Methodologies @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 30% 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 70%
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