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Volumn , Issue , 2012, Pages 128-135

A constraint neighborhood based approach for co-location pattern mining

Author keywords

co location patterns; data mining; self co location patterns; spatial data

Indexed keywords

CO-LOCATION PATTERNS; COLOCATIONS; RUN TIME COMPLEXITY; SPATIAL DATA; SPATIAL JOIN; SPATIAL PROXIMITY; SYNTHETIC DATASETS;

EID: 84868306944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KSE.2012.16     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 6
    • 79957944034 scopus 로고    scopus 로고
    • Discovering associations in spatial data - An efficient medoid based approach
    • Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining (PAKDD-98), Springer
    • V. Estivill-Castrol and A. Murray. Discovering associations in spatial data - an efficient medoid based approach. In Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining (PAKDD-98), LNCS 1394, Springer, 110-121, 1998.
    • (1998) LNCS , vol.1394 , pp. 110-121
    • Estivill-Castrol, V.1    Murray, A.2
  • 8
  • 10
    • 84957645397 scopus 로고
    • Discovery of spatial association rules in geographic information databases
    • Proceedings of the 4th International Symposium on Advances in Spatial Databases (SSD1995), Springer
    • K. Koperski and J. Han. Discovery of spatial association rules in geographic information databases. In Proceedings of the 4th International Symposium on Advances in Spatial Databases (SSD1995), LNCS 951, 47-66, Springer, 1995.
    • (1995) LNCS , vol.951 , pp. 47-66
    • Koperski, K.1    Han, J.2
  • 13
    • 78650671797 scopus 로고    scopus 로고
    • Co-location pattern mining for unevenly distributed data: Algorithm, experiments and applications
    • Y. Morimoto. Co-location pattern mining for unevenly distributed data: algorithm, experiments and applications. International Journal of Computational Science and Engineering, 5(3/4):185-196, 2010.
    • (2010) International Journal of Computational Science and Engineering , vol.5 , Issue.3-4 , pp. 185-196
    • Morimoto, Y.1
  • 14
    • 33644604412 scopus 로고    scopus 로고
    • Extracting spatial association rules from spatial transactions
    • ACM International Workshop on Geographic Information Systems (GIS'05), ACM, New York
    • S. Rinzivillo and F. Turini. Extracting spatial association rules from spatial transactions. In Proceedings of the 13th Annual ACM International Workshop on Geographic Information Systems (GIS'05), 79-86, ACM, New York, 2005.
    • (2005) Proceedings of the 13th Annual , pp. 79-86
    • Rinzivillo, S.1    Turini, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.