메뉴 건너뛰기




Volumn 17, Issue 4, 2008, Pages 923-945

Tree-based partition querying: A methodology for computing medoids in large spatial datasets

Author keywords

Medoid queries; Query processing; Spatial databases

Indexed keywords


EID: 45749143113     PISSN: 10668888     EISSN: 0949877X     Source Type: Journal    
DOI: 10.1007/s00778-007-0045-2     Document Type: Article
Times cited : (24)

References (35)
  • 1
    • 0347172110 scopus 로고    scopus 로고
    • OPTICS: Ordering points to identify the clustering structure
    • Ankerst, M., Breunig, M., Kriegel, H.P., Sander, J.: OPTICS: ordering points to identify the clustering structure. In: SIGMOD (1999)
    • (1999) SIGMOD
    • Ankerst, M.1    Breunig, M.2    Kriegel, H.P.3    Sander, J.4
  • 3
    • 0031643577 scopus 로고    scopus 로고
    • Approximation schemes for Euclidean k-medians and related problems
    • Arora, S., Raghavan, P., Rao, S.: Approximation schemes for Euclidean k-medians and related problems. In: STOC (1998)
    • (1998) STOC
    • Arora, S.1    Raghavan, P.2    Rao, S.3
  • 4
    • 0037870443 scopus 로고    scopus 로고
    • The X-tree: An index structure for high-dimensional data
    • Berchtold, S., Keim, D., Kriegel, H.: The X-tree: an index structure for high-dimensional data. In: VLDB (1996)
    • (1996) VLDB
    • Berchtold, S.1    Keim, D.2    Kriegel, H.3
  • 5
    • 0025447750 scopus 로고
    • The R*-tree: An efficient and robust access method for points and rectangles
    • Beckmann, N., Kriegel, H.P., Schneider, R., Seeger, B.: The R*-tree: an efficient and robust access method for points and rectangles. In: SIGMOD (1990)
    • (1990) SIGMOD
    • Beckmann, N.1    Kriegel, H.P.2    Schneider, R.3    Seeger, B.4
  • 6
    • 78149330405 scopus 로고
    • A database interface for clustering in large spatial databases
    • Ester, M., Kriegel, H.P., Xu, X.: A database interface for clustering in large spatial databases. In: KDD (1995)
    • (1995) KDD
    • Ester, M.1    Kriegel, H.P.2    Xu, X.3
  • 7
    • 0002382156 scopus 로고
    • Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification
    • Ester, M., Kriegel, H.P., Xu, X.: Knowledge discovery in large spatial databases: focusing techniques for efficient class identification. In: SSD (1995)
    • (1995) SSD
    • Ester, M.1    Kriegel, H.P.2    Xu, X.3
  • 8
    • 45749146270 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD (1996)
    • (1996) KDD
    • Ester, M.1    Kriegel, H.P.2    Sander, J.3    Xu, X.4
  • 10
    • 0021938963 scopus 로고
    • Clustering to minimize the maximum intercluster distance
    • Gonzalez T. (1985). Clustering to minimize the maximum intercluster distance. Theor. Compu. Sci. 38: 293-306
    • (1985) Theor. Compu. Sci. , vol.38 , pp. 293-306
    • Gonzalez, T.1
  • 12
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • Guha, S., Rastogi, R., Shim, K.: CURE: an efficient clustering algorithm for large databases. In: SIGMOD (1998)
    • (1998) SIGMOD
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 14
    • 9144231916 scopus 로고    scopus 로고
    • Learning the k in k-means
    • Hamerly, G., Elkan, C.: Learning the k in k-means. In: NIPS (2003)
    • (2003) NIPS
    • Hamerly, G.1    Elkan, C.2
  • 15
    • 0000701994 scopus 로고    scopus 로고
    • Distance browsing in spatial databases
    • Hjaltason, G., Samet, H.: Distance browsing in spatial databases. In: ACM TODS 24(2), 265-318 (1999)
    • (1999) ACM TODS , vol.24 , Issue.2 , pp. 265-318
    • Hjaltason, G.1    Samet, H.2
  • 19
    • 26444455169 scopus 로고
    • Generating seeded trees from data sets
    • Lo, M.L., Ravishankar, C.V.: Generating Seeded Trees from Data Sets. In: SSD (1995)
    • (1995) SSD
    • Lo, M.L.1    Ravishankar, C.V.2
  • 20
    • 0031673005 scopus 로고    scopus 로고
    • The design and implementation of seeded trees: An efficient method for spatial joins
    • Lo, M.L., Ravishankar, C.V.: The design and implementation of seeded trees: an efficient method for spatial joins. In: TKDE 10(1), 136-151 (1998)
    • (1998) TKDE , vol.10 , Issue.1 , pp. 136-151
    • Lo, M.L.1    Ravishankar, C.V.2
  • 21
    • 29844438853 scopus 로고    scopus 로고
    • Conceptual partitioning: An efficient method for continuous nearest neighbor monitoring
    • Mouratidis, K., Hadjieleftheriou, M., Papadias, D.: Conceptual partitioning: an efficient method for continuous nearest neighbor monitoring. In: SIGMOD (2005)
    • (2005) SIGMOD
    • Mouratidis, K.1    Hadjieleftheriou, M.2    Papadias, D.3
  • 22
    • 0035049112 scopus 로고    scopus 로고
    • Analysis of the clustering properties of the Hilbert space-filling curve
    • Moon, B., Jagadish, H.V., Faloutsos, C., Saltz, J.H.: Analysis of the clustering properties of the Hilbert space-filling curve. In: TKDE 13(1), 124-141 (2001)
    • (2001) TKDE , vol.13 , Issue.1 , pp. 124-141
    • Moon, B.1    Jagadish, H.V.2    Faloutsos, C.3    Saltz, J.H.4
  • 23
    • 0037246488 scopus 로고    scopus 로고
    • Slot index spatial join
    • Mamoulis, N., Papadias, D.: Slot index spatial join. In: TKDE 15(1), 211-231 (2003)
    • (2003) TKDE , vol.15 , Issue.1 , pp. 211-231
    • Mamoulis, N.1    Papadias, D.2
  • 24
    • 3142704472 scopus 로고    scopus 로고
    • SINA: Scalable incremental processing of continuous queries in spatio-temporal
    • Mokbel, M., Xiong, X., Aref, W.: SINA: Scalable incremental processing of continuous queries in spatio-temporal In: SIGMOD (2004)
    • (2004) SIGMOD
    • Mokbel, M.1    Xiong, X.2    Aref, W.3
  • 25
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Ng, R., Han, J.: Efficient and effective clustering methods for spatial data mining. In: VLDB (1994)
    • (1994) VLDB
    • Ng, R.1    Han, J.2
  • 26
    • 0002738562 scopus 로고    scopus 로고
    • Accelerating exact k-means algorithms with geometric reasoning
    • Pelleg, D., Moore, A.W.: Accelerating exact k-means algorithms with geometric reasoning. In: KDD (1999)
    • (1999) KDD
    • Pelleg, D.1    Moore, A.W.2
  • 27
    • 0001820920 scopus 로고    scopus 로고
    • X-means: Extending k-means with efficient estimation of the number of clusters
    • Pelleg, D., Moore, A.W.: X-means: Extending k-means with efficient estimation of the number of clusters. In: ICML (2000)
    • (2000) ICML
    • Pelleg, D.1    Moore, A.W.2
  • 29
    • 10944247899 scopus 로고    scopus 로고
    • Range aggregate processing in spatial databases
    • 12
    • Tao Y. and Papadias D. (2004). Range aggregate processing in spatial databases. TKDE 16(12): 1555-1570
    • (2004) TKDE , vol.16 , pp. 1555-1570
    • Tao, Y.1    Papadias, D.2
  • 30
    • 33747610636 scopus 로고    scopus 로고
    • Efficient cost models for spatial queries using R-trees
    • 1
    • Theodoridis Y., Stefanakis E. and Sellis T. (2000). Efficient cost models for spatial queries using R-trees. TKDE 12(1): 19-32
    • (2000) TKDE , vol.12 , pp. 19-32
    • Theodoridis, Y.1    Stefanakis, E.2    Sellis, T.3
  • 31
    • 85030869395 scopus 로고
    • Smallest enclosing disks (Balls and Ellipsoids)
    • Welzl E. (1991). Smallest enclosing disks (Balls and Ellipsoids). New Results New Trends Compu. Sci. 555: 359-370
    • (1991) New Results New Trends Compu. Sci. , vol.555 , pp. 359-370
    • Welzl, E.1
  • 32
    • 33747624071 scopus 로고    scopus 로고
    • Integrated coverage and connectivity configuration for energy conservation in sensor networks
    • 1
    • Xing G., Wang X., Zhang Y., Lu C., Pless R. and Gill C. (2005). Integrated coverage and connectivity configuration for energy conservation in sensor networks. ACM TOSN 1(1): 36-72
    • (2005) ACM TOSN , vol.1 , pp. 36-72
    • Xing, G.1    Wang, X.2    Zhang, Y.3    Lu, C.4    Pless, R.5    Gill, C.6
  • 33
    • 23944481004 scopus 로고    scopus 로고
    • Monitoring k-nearest neighbor queries over moving objects
    • Yu, X., Pu, K., Koudas, N.: Monitoring k-nearest neighbor queries over moving objects. In: ICDE (2005)
    • (2005) ICDE
    • Yu, X.1    Pu, K.2    Koudas, N.3
  • 34
    • 45749096297 scopus 로고    scopus 로고
    • Progressive computation of the min-dist optimal-location query
    • Zhang, D., Du, Y., Xia, T., Tao, Y.: Progressive computation of the min-dist optimal-location query. In: VLDB (2006)
    • (2006) VLDB
    • Zhang, D.1    Du, Y.2    Xia, T.3    Tao, Y.4
  • 35
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: an efficient data clustering method for very large databases. In: SIGMOD (1996)
    • (1996) SIGMOD
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.