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Volumn , Issue , 2008, Pages 442-447

A vector-geometry based spatial kNN-algorithm for traffic frequency predictions

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; FORECASTING; INFORMATION MANAGEMENT;

EID: 62449287654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2008.35     Document Type: Conference Paper
Times cited : (27)

References (13)
  • 3
    • 85030846174 scopus 로고
    • Reasoning about binary topological relations
    • Gunther O. and Schek H.-J, eds, In Second Symposium on Large Spatial Databases, of, Springer
    • Egenhofer, M. Reasoning about binary topological relations. In Gunther O. and Schek H.-J., (eds), In Second Symposium on Large Spatial Databases, volume 525 of LNCS, Springer, pages 143-160, 1991.
    • (1991) LNCS , vol.525 , pp. 143-160
    • Egenhofer, M.1
  • 4
    • 0031084264 scopus 로고    scopus 로고
    • Fast implementations of nearest neighbor classifiers
    • Grother, P., Candela, G., Blue, J. Fast implementations of nearest neighbor classifiers, Pattern Recognition, 30(3): 459-465, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.3 , pp. 459-465
    • Grother, P.1    Candela, G.2    Blue, J.3
  • 5
    • 84864861570 scopus 로고    scopus 로고
    • Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
    • Klösgen, W., May, M. Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database. Proc. PKDD 2002, pages 275-283, 2002
    • (2002) Proc. PKDD 2002 , pp. 275-283
    • Klösgen, W.1    May, M.2
  • 7
    • 22944475382 scopus 로고    scopus 로고
    • Inducing Multi-Level Association Rules from Multiple Relations
    • Lisi, F.A., Malerba, D. Inducing Multi-Level Association Rules from Multiple Relations. Machine Learning, 55:175-210, 2004.
    • (2004) Machine Learning , vol.55 , pp. 175-210
    • Lisi, F.A.1    Malerba, D.2
  • 8
    • 33646405161 scopus 로고    scopus 로고
    • Mining Model Trees from Spatial Data
    • Proc. PKDD
    • Malerba, D., Appice, A., Cecci, M., Mining Model Trees from Spatial Data, Proc. PKDD 2005 LNCS, 2005.
    • (2005) LNCS
    • Malerba, D.1    Appice, A.2    Cecci, M.3
  • 9
    • 70449721242 scopus 로고    scopus 로고
    • Pedestrian Flow Prediction in Extensive Road Networks using Biased Observational Data
    • to appear
    • May, M., Scheider, S., Rösier, R., Schulz. D., Hecker, D. Pedestrian Flow Prediction in Extensive Road Networks using Biased Observational Data, ACM GIS 2008, to appear.
    • (2008) ACM GIS
    • May, M.1    Scheider, S.2    Rösier, R.3    Schulz, D.4    Hecker, D.5
  • 10
    • 84976651595 scopus 로고
    • Topological relations in the world of minimum bounding rectangles: A study with R-trees
    • Papadias, D., Sellis, T., Theodoridis, Y., Egenhofer. M. Topological relations in the world of minimum bounding rectangles: a study with R-trees, ACM Sigmod Record, 24, 2: 92-103, 1995.
    • (1995) ACM Sigmod Record , vol.24 , Issue.2 , pp. 92-103
    • Papadias, D.1    Sellis, T.2    Theodoridis, Y.3    Egenhofer, M.4
  • 12
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: The algorithm GDBScan and its applications
    • Sander, J., M. Ester, H.-P. Kriegel, and X. Xu. Density-based clustering in spatial databases: The algorithm GDBScan and its applications. Data Mining and Knowledge Discovery, 2(2): 169-194, 1998.
    • (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.