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Volumn , Issue , 2010, Pages 195-206

BSkyTree: Scalable skyline computation using a balanced pivot selection

Author keywords

Dominance; Incomparability; Pivot selection; Skyline

Indexed keywords

COST MODELS; KEY FACTORS; LARGE-SCALE DATASETS; MULTI CRITERIA ANALYSIS; ORDERS OF MAGNITUDE; PIVOT POINT; SKYLINE QUERY;

EID: 77952265089     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1739041.1739067     Document Type: Conference Paper
Times cited : (48)

References (16)
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  • 3
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    • Fast linear expected-time algorithms for computing maxima and convex hulls
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    • Robust cardinality and cost estimation for skyline operator
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    • Maximal vector computation in large data sets
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    • Godfrey, P.1    Shipley, R.2    Gryz, J.3
  • 9
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    • Shooting stars in the sky: An online algorithm for skyline queries
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    • Kossmann, D.1    Ramsak, F.2    Rost, S.3
  • 10
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    • Kung, H.T.1    Luccio, F.2    Preparata, F.3
  • 11
    • 70450066956 scopus 로고    scopus 로고
    • SkyTree: Scalable skyline computation for sensor data
    • J. Lee and S. Hwang. SkyTree: Scalable skyline computation for sensor data. In SensorKDD, 2009.
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    • Lee, J.1    Hwang, S.2
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    • Efficient skyline computation over low-cardinailty domains
    • M. Morse, J. M. Patel, and H. Jagadish. Efficient skyline computation over low-cardinailty domains. In VLDB, 2007.
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    • Morse, M.1    Patel, J.M.2    Jagadish, H.3
  • 14
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    • An optimal and progessive algorithm for skyline queries
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  • 15
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    • Parallel skyline computation on multicore architectures
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  • 16
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    • Scalable skyline computation using object-based space partitioning
    • S. Zhang, N. Mamoulis, and D. W. Cheung. Scalable skyline computation using object-based space partitioning. In SIGMOD, 2009.
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    • Zhang, S.1    Mamoulis, N.2    Cheung, D.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.