메뉴 건너뛰기




Volumn 22, Issue 2, 2007, Pages 232-244

Efficient k-nearest-neighbor search algorithms for historical moving object trajectories

Author keywords

Algorithms; K nearest neighbor search; Moving object trajectories; Query processing; Spatio temporal databases

Indexed keywords

K-NEAREST NEIGHBOR SEARCH; KNN RETRIEVAL; MOVING OBJECT TRAJECTORIES; SPATIO TEMPORAL DATABASES;

EID: 34247247288     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-007-9030-x     Document Type: Article
Times cited : (30)

References (32)
  • 1
  • 6
    • 0003042108 scopus 로고    scopus 로고
    • Enhanced nearest neighbour search on the R-tree
    • Cheung K L, Fu A W-C. Enhanced nearest neighbour search on the R-tree. SIGMOD Rec., 1998, 27(3): 16-21.
    • (1998) SIGMOD Rec , vol.27 , Issue.3 , pp. 16-21
    • Cheung, K.L.1    Fu, A.W.-C.2
  • 8
  • 9
    • 85012111044 scopus 로고    scopus 로고
    • Continuous k-nearest neighbor queries for continuously moving points with updates
    • Berlin, Germany
    • Iwerks G S, Samet H, Smith K. Continuous k-nearest neighbor queries for continuously moving points with updates. In Proc. the 29th Int. Conf. Very Large Data Bases, Berlin, Germany, 2003, pp.512-523.
    • (2003) Proc. the 29th Int. Conf. Very Large Data Bases , pp. 512-523
    • Iwerks, G.S.1    Samet, H.2    Smith, K.3
  • 12
    • 85198675441 scopus 로고    scopus 로고
    • Roussopoulos N, Kelley S, Vincent F. Nearest neighbor queries. In Proc. the ACM SIGMOD Int. Conf. Management of Data, San Jose, USA, 1995, pp.71-79.
    • Roussopoulos N, Kelley S, Vincent F. Nearest neighbor queries. In Proc. the ACM SIGMOD Int. Conf. Management of Data, San Jose, USA, 1995, pp.71-79.
  • 16
    • 28044449142 scopus 로고    scopus 로고
    • Xiong X, Mokbel M, Aref W. SEA-CNN: Scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases. In Proc. the 21st Int. Conf. Data Engineering, Tokyo, Japan, 2005, pp.643-654.
    • Xiong X, Mokbel M, Aref W. SEA-CNN: Scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases. In Proc. the 21st Int. Conf. Data Engineering, Tokyo, Japan, 2005, pp.643-654.
  • 17
    • 23944481004 scopus 로고    scopus 로고
    • Monitoring k-nearest neighbor queries over moving objects
    • Tokyo, Japan
    • Yu X, Pu K, Koudas N. Monitoring k-nearest neighbor queries over moving objects. In Proc. the 21st Int. Conf. Data Engineering, Tokyo, Japan, 2005, pp.631-642.
    • (2005) Proc. the 21st Int. Conf. Data Engineering , pp. 631-642
    • Yu, X.1    Pu, K.2    Koudas, N.3
  • 19
    • 34247215109 scopus 로고    scopus 로고
    • Manolopoulos Y, Nanopoulos A, Papadopoulos A N, Theodoridis Y. R-trees: Theory and Applications. Springer, 2005.
    • Manolopoulos Y, Nanopoulos A, Papadopoulos A N, Theodoridis Y. R-trees: Theory and Applications. Springer, 2005.
  • 24
    • 85031999247 scopus 로고    scopus 로고
    • Guttman A. R-trees: A dynamic index structure for spatial searching. In Proc. the AGM SIGMOD Int. Conf. Management of Data, Boston, USA, 1984, pp.47-57.
    • Guttman A. R-trees: A dynamic index structure for spatial searching. In Proc. the AGM SIGMOD Int. Conf. Management of Data, Boston, USA, 1984, pp.47-57.
  • 26
    • 0025447750 scopus 로고    scopus 로고
    • Beckmann N, Kriegel H-P, Schneider R, Seeger B. The R*-tree: An efficient and robust access method for points and rectangles. In Proc. the ACM SIGMOD Int. Conf. Management of Data, Atlantic City, NJ, 1990, pp.322-331.
    • Beckmann N, Kriegel H-P, Schneider R, Seeger B. The R*-tree: An efficient and robust access method for points and rectangles. In Proc. the ACM SIGMOD Int. Conf. Management of Data, Atlantic City, NJ, 1990, pp.322-331.
  • 32


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.