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Volumn , Issue , 2013, Pages 1580-1588

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

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES MINING; AUSTRALIA; GREAT BARRIER REEF; MINE AREAS; QUEENSLAND; TOURIST DESTINATIONS; TROPICAL RAIN FOREST; USER-GENERATED;

EID: 84875494766     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2013.401     Document Type: Conference Paper
Times cited : (35)

References (17)
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    • I. Lee, and C. Torpelund-Bruin, "Geographic Knowledge Discovery from Web 2.0 Technologies for Advance Collective Intelligence", Informatics, 2011, Vol. 35, pp. 453-461.
    • (2011) Informatics , vol.35 , pp. 453-461
    • Lee, I.1    Torpelund-Bruin, C.2
  • 2
    • 37849011950 scopus 로고    scopus 로고
    • How flickr helps us make sense of the world: Context and content in community-contributed media collections
    • ACM, new York, NY
    • L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury, "How Flickr Helps Us Make Sense of the World: Context and Content in Community-Contributed Media Collections", In Proceedings of the Conference on Multimedia, ACM, new York, NY, 2007, pp. 631-640.
    • (2007) Proceedings of the Conference on Multimedia , pp. 631-640
    • Kennedy, L.1    Naaman, M.2    Ahern, S.3    Nair, R.4    Rattenbury, T.5
  • 4
    • 84875534753 scopus 로고    scopus 로고
    • PDBSCAN: A density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos
    • S. Kisilevich, F. Mansmann, and D.A. Keim, "PDBSCAN: A Density based Clustering Algorithm for Exploration and Analysis of Attractive Areas Using Collections of Geo-tagged Photos", Com.Geo 2010.
    • Com.Geo 2010
    • Kisilevich, S.1    Mansmann, F.2    Keim, D.A.3
  • 6
    • 80052120366 scopus 로고    scopus 로고
    • Identifying points of interest by self-tuning clustering
    • Y. Yang, Z. Gong, and L. Hou, "Identifying Points of Interest by Self-tuning Clustering", SIGIR, 2011, pp. 883-892.
    • (2011) SIGIR , pp. 883-892
    • Yang, Y.1    Gong, Z.2    Hou, L.3
  • 7
    • 36448986338 scopus 로고    scopus 로고
    • Towards automatic extraction of event and place semantics from flickr tags
    • T. Rattenbury, N. Good, and M. Naaman, "Towards Automatic Extraction of Event and Place Semantics from Flickr Tags", SIGIR, 2007, pp. 103-110.
    • (2007) SIGIR , pp. 103-110
    • Rattenbury, T.1    Good, N.2    Naaman, M.3
  • 12
    • 84875538431 scopus 로고    scopus 로고
    • A travel planning system based on travel trajectories extracted from a large number of geotagged photos on the web
    • Sydney, Australia
    • K. Okuyama, and K. Yanai "A Travel Planning System Based on Travel Trajectories Extracted from a Large Number of Geotagged Photos on the Web", In Proceedings of the Pacific-Rim Conference on Multimedia, Sydney, Australia, 2011, pp. 531-540.
    • (2011) Proceedings of the Pacific-Rim Conference on Multimedia , pp. 531-540
    • Okuyama, K.1    Yanai, K.2
  • 13
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • L. Le Cam, and J. Neyman (eds)
    • J. MacQueen, "Some Methods for Classification and Analysis of Multivariate Observations", In 5th Berkeley Symposium on Mathematical Statistics and Probability, L. Le Cam, and J. Neyman (eds), 1967, Vol. 1, pp. 281-297.
    • (1967) 5th Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • Macqueen, J.1
  • 14
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications
    • J. Sander, M. Ester, H.P. Kriegel, M. Wimmer, and X. Xu, "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications", Data Mining and Knowledge Discovery, 1998, Vol. 2(2), pp. 169-194.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.P.3    Wimmer, M.4    Xu, X.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.