메뉴 건너뛰기




Volumn 1394, Issue , 1998, Pages 110-121

Discovering associations in spatial data-an efficient medoid based approach

Author keywords

[No Author keywords available]

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; HEURISTIC ALGORITHMS;

EID: 79957944034     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64383-4_10     Document Type: Conference Paper
Times cited : (59)

References (15)
  • 1
    • 0002546079 scopus 로고
    • Attribute-oriented induction in relational databases
    • G. Piatetsky-Shapiro and W.J. Erawley, Menlo Park, CA. USA, AAAI Press
    • Y. Cai, N. Cercone, and J. Han. Attribute-oriented induction in relational databases. In G. Piatetsky-Shapiro and W.J. Erawley, Knowledge Discovery in Databases, 213-228, Menlo Park, CA. USA, 1991. AAAI Press.
    • (1991) Knowledge Discovery in Databases , pp. 213-228
    • Cai, Y.1    Cercone, N.2    Han, J.3
  • 2
    • 84885618002 scopus 로고    scopus 로고
    • Spatial data mining: A database approach
    • A. School and A. Voisrad, Berlin, Germany, Springer-Verlag LNCS
    • M. Ester, H.P. Kriegel, and J. Sander. Spatial data mining: A database approach. In A. School and A. Voisrad, Advances in Spatial Databases, 5th Int. Symp., SDD-97, 47-66, Berlin, Germany, 1997. Springer-Verlag LNCS 1262.
    • (1997) Advances in Spatial Databases, 5th Int. Symp., SDD-97 , vol.1262 , pp. 47-66
    • Ester, M.1    Kriegel, H.P.2    Sander, J.3
  • 3
    • 85170282443 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • E. Simoudis, J. Han, and U. Fayyad, Menlo Park, CA, AAAI, AAAI Press
    • M. Ester, H.P. Kriegel, S. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In E. Simoudis, J. Han, and U. Fayyad, Proc. of the 2nd Ini. Conf. on Knowledge Discovery and Data Mining (KDD-96), 226-231, Menlo Park, CA, 1996. AAAI, AAAI Press.
    • (1996) Proc. of the 2nd Ini. Conf. on Knowledge Discovery and Data Mining (KDD-96) , pp. 226-231
    • Ester, M.1    Kriegel, H.P.2    Sander, S.3    Xu, X.4
  • 4
    • 78449256645 scopus 로고    scopus 로고
    • Mining spatial data via clustering
    • FIT, QUT, Brisbane 4000, Australia
    • V. Estivill-Castro and A.T. Murray. Mining spatial data via clustering. Technical Report #5/97, FIT, QUT, Brisbane 4000, Australia, 1997.
    • (1997) Technical Report #5/97
    • Estivill-Castro, V.1    Murray, A.T.2
  • 5
    • 0002618404 scopus 로고    scopus 로고
    • Discovering patterns in spatial data using evolutionary programming
    • J.R. Koza, Cambridge, MA, MIT Press
    • A. Ghozeil and D.B. Fogel. Discovering patterns in spatial data using evolutionary programming. In J.R. Koza, Genetic Programming: Proc. of the First Annual Conf., 521-527, Cambridge, MA, 1996. MIT Press.
    • (1996) Genetic Programming: Proc. of the First Annual Conf. , pp. 521-527
    • Ghozeil, A.1    Fogel, D.B.2
  • 7
    • 0031168386 scopus 로고    scopus 로고
    • GeoMiner: A system prototype for spatial data mining
    • K. Han, J. Koperski and N. Stefanovic. GeoMiner: A system prototype for spatial data mining. SIGMOD Record, 26(2):553-556, 1997.
    • (1997) SIGMOD Record , vol.26 , Issue.2 , pp. 553-556
    • Han, K.1    Koperski, J.2    Stefanovic, N.3
  • 10
    • 0030157505 scopus 로고    scopus 로고
    • Applying simulated annealing to location-planning models
    • A.T. Murray and R.L. Church. Applying simulated annealing to location-planning models. Journal of Heuristics, 2:31-53, 1996.
    • (1996) Journal of Heuristics , vol.2 , pp. 31-53
    • Murray, A.T.1    Church, R.L.2
  • 12
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • J. Bocca, M. Jarke, and C. Zaniolo, San Francisco, CA, Morgan Kaufmann
    • R.T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In J. Bocca, M. Jarke, and C. Zaniolo, Proc. of the 20th Conf. on Very Large Data Bases (VLDB), 144-155, San Francisco, CA, 1994. Morgan Kaufmann.
    • (1994) Proc. of the 20th Conf. on Very Large Data Bases (VLDB) , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 14
    • 0242265859 scopus 로고
    • Analysis and design of heuristics for the p-median location-allocation problem
    • Dep. of Geography, U. California, Santa Barbara
    • P. Sorensen. Analysis and design of heuristics for the p-median location-allocation problem. Master’s thesis, Dep. of Geography, U. California, Santa Barbara, 1994.
    • (1994) Master’s thesis
    • Sorensen, P.1
  • 15
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • June
    • T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: an efficient data clustering method for very large databases. SIGMOD Record, 25(2):103-114, June 1996.
    • (1996) SIGMOD Record , vol.25 , Issue.2 , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.