메뉴 건너뛰기




Volumn , Issue , 2011, Pages 296-301

SciBORQ: Scientific data management with bounds on runtime and quality

Author keywords

[No Author keywords available]

Indexed keywords

AD-HOC QUERIES; ADAPTIVENESS; COMPLETE SYSTEM; COMPUTATIONAL FEATURES; COMPUTING CLUSTERS; DATA PROCESSING TECHNIQUES; DATA SAMPLE; ERROR BOUND; FACTUAL INFORMATION; FEATURE EXTRACTION ALGORITHMS; FOCAL POINTS; ITERATIVE PROCESS; MAP-REDUCE; MULTILAYER DESIGNS; NOVEL TECHNIQUES; PARALLEL LOADS; PRECISE CONTROL; QUERY ANSWERING; QUERY EXECUTION TIME; QUERY RESULTS; RUNTIMES; SCIENTIFIC DATA; SCIENTIFIC DATA MANAGEMENT; SCIENTIFIC DISCOVERY; SPECIFIC TASKS; STATISTICAL ERRORS; TIME BOUND; TIME FRAME; VIRTUAL OBSERVATORY;

EID: 80053524157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (69)

References (24)
  • 1
    • 0005334432 scopus 로고    scopus 로고
    • Self-tuning histograms: Building histograms without looking at data
    • A. Aboulnaga and S. Chaudhuri. Self-tuning histograms: building histograms without looking at data. In Proc. of the ACM SIGMOD, 1999.
    • (1999) Proc. of the ACM SIGMOD
    • Aboulnaga, A.1    Chaudhuri, S.2
  • 2
    • 0039118204 scopus 로고    scopus 로고
    • Aqua: A fast decision support system using approximate query answers
    • S. Acharya, P. Gibbons, and V. Poosala. Aqua: A Fast Decision Support System Using Approximate Query Answers. In Proc. of the 25th VLDB, 1999.
    • (1999) Proc. of the 25th VLDB
    • Acharya, S.1    Gibbons, P.2    Poosala, V.3
  • 5
    • 0002368671 scopus 로고    scopus 로고
    • The new jersey data reduction report
    • Daniel Barbara et al. The New Jersey Data Reduction Report. IEEE Data Eng. Bull, 20(4), 1997.
    • (1997) IEEE Data Eng. Bull , vol.20 , Issue.4
    • Barbara, D.1
  • 6
    • 38949161193 scopus 로고    scopus 로고
    • Sampling methods for wallenius' and fisher's noncentral hypergeometric distributions
    • A. Fog. Sampling Methods for Wallenius' and Fisher's Noncentral Hypergeometric Distributions. Communications in statistics, Simulation and Computation, 37(2), 2008.
    • (2008) Communications in Statistics, Simulation and Computation , vol.37 , Issue.2
    • Fog, A.1
  • 8
    • 3042590040 scopus 로고    scopus 로고
    • Probabilistic wavelet synopses
    • M. Garofalakis and P. B. Gibbons. Probabilistic wavelet synopses. ACM-TODS, 29(1), 2004.
    • (2004) ACM-TODS , vol.29 , Issue.1
    • Garofalakis, M.1    Gibbons, P.B.2
  • 9
    • 0032092365 scopus 로고    scopus 로고
    • New sampling-based summary statistics for improving approximate query answers
    • P. B. Gibbons and Y. Matias. New sampling-based summary statistics for improving approximate query answers. In Proc. of the ACM SIGMOD, 1998.
    • (1998) Proc. of the ACM SIGMOD
    • Gibbons, P.B.1    Matias, Y.2
  • 10
    • 0041401239 scopus 로고    scopus 로고
    • Fast incremental maintenance of approximate histograms
    • P. B. Gibbons, Y. Matias, and V. Poosala. Fast incremental maintenance of approximate histograms. ACM-TODS, 27(3), 2002.
    • (2002) ACM-TODS , vol.27 , Issue.3
    • Gibbons, P.B.1    Matias, Y.2    Poosala, V.3
  • 11
    • 77955510132 scopus 로고    scopus 로고
    • The fourth paradigm: Data-intensive scientific discovery
    • T. Hey, S. Tansley, and K. Tolle. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, 2009.
    • (2009) Microsoft Research
    • Hey, T.1    Tansley, S.2    Tolle, K.3
  • 16
    • 79957825995 scopus 로고    scopus 로고
    • Database architecture evolution: Mammals flourished long before dinosaurs became extinct
    • S. Manegold, M. Kersten, and P. Boncz. Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct. In Proc. of the 35th VLDB, 2009.
    • (2009) Proc. of the 35th VLDB
    • Manegold, S.1    Kersten, M.2    Boncz, P.3
  • 17
    • 80053476691 scopus 로고    scopus 로고
    • MonetDB. http://monetdb.cwi.nl.
  • 18
    • 84944037385 scopus 로고
    • Equi-depth histograms for estimating selectivity factors for multi-dimensional queries
    • M. Muralikrishna and D. J. DeWitt. Equi-Depth Histograms for Estimating Selectivity Factors for Multi-Dimensional Queries. In Proc. of the ACM SIGMOD, 1988.
    • (1988) Proc. of the ACM SIGMOD
    • Muralikrishna, M.1    Dewitt, D.J.2
  • 19
    • 0022821574 scopus 로고
    • Simple random sampling from relational databases
    • F. Olken and D. Rotem. Simple Random Sampling from Relational Databases. In Proc. of the 12th VLDB, 1986.
    • (1986) Proc. of the 12th VLDB
    • Olken, F.1    Rotem, D.2
  • 20
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • E. Parzen. On Estimation of a Probability Density Function and Mode. Annals of Mathematical Statistics, 33(3), 1962.
    • (1962) Annals of Mathematical Statistics , vol.33 , Issue.3
    • Parzen, E.1
  • 21
    • 84994070713 scopus 로고    scopus 로고
    • Selectivity estimation without the attribute value independence assumption
    • V. Poosala and Y. Ioannidis. Selectivity Estimation Without the Attribute Value Independence Assumption. In Proc. of the 23rd VLDB, 1997.
    • (1997) Proc. of the 23rd VLDB
    • Poosala, V.1    Ioannidis, Y.2
  • 23
    • 0002699804 scopus 로고    scopus 로고
    • Approximate query answering using histograms
    • Viswanath Poosala and Venkatesh Ganti and Yannis E. Ioannidis. Approximate Query Answering using Histograms. IEEE Data Eng. Bull, 22(4), 1999.
    • (1999) IEEE Data Eng. Bull , vol.22 , Issue.4
    • Poosala, V.1    Ganti, V.2    Ioannidis, Y.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.