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Volumn 346, Issue , 2009, Pages 338-347

Spatial clustering analysis of water main break events

Author keywords

[No Author keywords available]

Indexed keywords

A-DENSITY; BREAKAGE PROCESS; CLUSTERING RESULTS; DBSCAN ALGORITHM; DRINKING WATER PIPES; EXPLORATORY ANALYSIS; PARAMETER CHOICE; SHORTEST PATH; SPATIAL CLUSTER; SPATIAL CLUSTERING; SPATIAL CORRELATIONS; SPATIAL DISTRIBUTION; WATER DISTRIBUTION PIPES; WATER MAINS;

EID: 70350145302     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41052(346)34     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 2
    • 33846024749 scopus 로고    scopus 로고
    • ST-DBSCAN: An algorithm for clustering spatial-temporal data
    • Birant, D., and Kut, A. (2007). "ST-DBSCAN: An algorithm for clustering spatial-temporal data." Data Knowl. Eng., 60(1), 208-221.
    • (2007) Data Knowl. Eng , vol.60 , Issue.1 , pp. 208-221
    • Birant, D.1    Kut, A.2
  • 4
    • 0141998336 scopus 로고    scopus 로고
    • The Clean Water and Drinking Water Infrastructure Gap Analysis
    • EPA, United States Environmental Protection Agency
    • EPA. (2002). "The Clean Water and Drinking Water Infrastructure Gap Analysis." EPA-816-R-02-020, United States Environmental Protection Agency.
    • (2002) EPA-816-R-02-020
  • 7
    • 70350198355 scopus 로고    scopus 로고
    • Inc, M. (2007). Parametric Growth Curve.
    • Inc, M. (2007). "Parametric Growth Curve."
  • 8
    • 0035166549 scopus 로고    scopus 로고
    • Comprehensive review of structural deterioration of water mains: Statistical models
    • Kleiner, Y., and Rajani, B. B. (2001). "Comprehensive review of structural deterioration of water mains: statistical models." Urban Water, 3(3), 131-150.
    • (2001) Urban Water , vol.3 , Issue.3 , pp. 131-150
    • Kleiner, Y.1    Rajani, B.B.2
  • 12
    • 22044455069 scopus 로고    scopus 로고
    • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
    • Sander, J., Ester, M., Kriegel, H.-P., and Xu, X. (1998). "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications." Data Mining and Knowledge Discovery, 2(2), 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    Xu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.