메뉴 건너뛰기




Volumn 301-303, Issue , 2011, Pages 1133-1138

Research on parallel DBSCAN algorithm design based on MapReduce

Author keywords

Data mining; DBSCAN; Hadoop; MapReduce; Parallel clustering

Indexed keywords

COMMODITY HARDWARE; DATA CLUSTERING; DBSCAN; DBSCAN ALGORITHM; DOCUMENT RETRIEVAL; HADOOP; LARGE DATASETS; MAP-REDUCE; PARALLEL CLUSTERING;

EID: 80052069648     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.301-303.1133     Document Type: Conference Paper
Times cited : (33)

References (17)
  • 1
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • J. MacQueen: Some Methods for Classification and Analysis of Multivariate Observations. In: Proc. 5th Berkeley Symp. Math. Statist, Prob., 1:281-297(1967)
    • (1967) Proc. 5th Berkeley Symp. Math. Statist, Prob. , vol.1 , pp. 281-297
    • MacQueen, J.1
  • 2
    • 0003136237 scopus 로고
    • Efficient and effective clustering method for spatial data mining
    • Santiago, Chile
    • R. Ng, J. Han: Efficient and Effective Clustering Method for Spatial Data Mining. In: Proc. 1994 Int. Conf. Very large Data Bases, pp. 144-155. Santiago, Chile (1994)
    • (1994) Proc. 1994 Int. Conf. Very Large Data Bases , pp. 144-155
    • Ng, R.1    Han, J.2
  • 4
    • 0032686723 scopus 로고    scopus 로고
    • CHAMELEON: A hierarchical clustering algorithm using dynamic modeling
    • G. Karypis, E. H. Han, V. Kumar: CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling. Computer, 32: 68-75 (1999)
    • (1999) Computer , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.H.2    Kumar, V.3
  • 6
    • 84994158589 scopus 로고    scopus 로고
    • STING: A statistical information grid approach to spatial data mining
    • Athens, Greece
    • W. Wang, J. Yang, R. Muntz: STING: A Statistical Information Grid Approach to Spatial Data Mining. In: Proc. 1997 Int. Conf. Very Large Data Bases, pp. 186-195. Athens, Greece (1997)
    • (1997) Proc. 1997 Int. Conf. Very Large Data Bases , pp. 186-195
    • Wang, W.1    Yang, J.2    Muntz, R.3
  • 8
    • 0024619684 scopus 로고
    • Efficiency of hierarchical agglomerative clustering using the ICL distributed array processor
    • E. Rasmussen, P. Willett, P.: Efficiency of Hierarchical Agglomerative Clustering Using the ICL Distributed Array Processor. Journal of Documentation, 45(1):1-24. (1989)
    • (1989) Journal of Documentation , vol.45 , Issue.1 , pp. 1-24
    • Rasmussen, E.1    Willett, P.P.2
  • 9
    • 0024718536 scopus 로고
    • Parallel clustering algorithms
    • X. Li, Z. Fang: Parallel Clustering Algorithms. Parallel Computing, 11:275-290. (1989)
    • (1989) Parallel Computing , vol.11 , pp. 275-290
    • Li, X.1    Fang, Z.2
  • 10
    • 0029358115 scopus 로고
    • Parallel algorithms for hierarchical clustering
    • C. Olson: Parallel Algorithms for Hierarchical Clustering. Parallel Computing, 21(8):1313-1325. (1995)
    • (1995) Parallel Computing , vol.21 , Issue.8 , pp. 1313-1325
    • Olson, C.1
  • 16
    • 56349085999 scopus 로고    scopus 로고
    • Google's MapReduce programming model-revisited
    • R. Lammel.: Google's MapReduce Programming Model-Revisited. Science of Computer Programming, 70: 1-30 (2008)
    • (2008) Science of Computer Programming , vol.70 , pp. 1-30
    • Lammel, R.1
  • 17
    • 22844454592 scopus 로고    scopus 로고
    • A fast parallel clustering algorithm for large spatial databases
    • X. Xu, J. Jager, H. Kriegel: A Fast Parallel Clustering Algorithm for Large Spatial Databases. Data Mining and Knowledge Discovery, 3:263-290 (1999).
    • (1999) Data Mining and Knowledge Discovery , vol.3 , pp. 263-290
    • Xu, X.1    Jager, J.2    Kriegel, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.