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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (6) : 1255-1257
Mining fine-grained sequential travel patterns from social geo-tagged photos
Thanh-Hieu BUI1, Seong-Bae PARK2()
1. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
2. Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea
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Corresponding Authors: Seong-Bae PARK   
Just Accepted Date: 30 August 2018   Online First Date: 19 October 2018    Issue Date: 04 December 2018
 Cite this article:   
Thanh-Hieu BUI,Seong-Bae PARK. Mining fine-grained sequential travel patterns from social geo-tagged photos[J]. Front. Comput. Sci., 2018, 12(6): 1255-1257.
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Thanh-Hieu BUI
Seong-Bae PARK
1 Kisilevich S, Mansmann F, Keim D. P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. In: Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application. 2010, 38
2 Pei J, Han J, Wang W. Constraint-based sequential pattern mining: the pattern-growth methods. Journal of Intelligent Information Systems, 2007, 28(2): 133–160
3 Han J, Pei J, Mortazavi-Asl B, Pinto H, Chen Q, Dayal U, Hsu M C. Prefixspan: mining sequential patterns efficiently by prefix-projected pattern growth. In: Proceedings of the 17th International Conference on Data Engineering. 2001, 215–224
4 Pinto H, Han J, Pei J, Wang K, Chen Q, Dayal U. Multi-dimensional sequential pattern mining. In: Proceedings of the 10th International Conference on Information & Knowledge Management. 2001, 81–88
5 Yin Z, Cao L, Han J, Luo J, Huang T S. Diversified trajectory pattern ranking in geo-tagged social media. In: Proceedings of the SIAM International Conference on Data Mining. 2011, 980–991
6 Ester M, Kriegel H P, Sander J, Xu X. A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. 1996, 226–231
7 Li X. Multi-day and multi-stay travel planning using geo-tagged photos. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information. 2013, 1–8
8 Cranshaw J, Toch E, Hong J, Kittur A, Sadeh N. Bridging the gap between physical location and online social networks. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing. 2010, 119–128
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