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Volumn 3, Issue 1, 2010, Pages 1302-1313

Conditioning and aggregating uncertain data streams: Going beyond expectations

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DATA COMMUNICATION SYSTEMS; PROBABILITY DISTRIBUTIONS; QUERY PROCESSING;

EID: 84859328491     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1920841.1921001     Document Type: Article
Times cited : (17)

References (20)
  • 1
  • 2
    • 35048846974 scopus 로고    scopus 로고
    • CQL: A language for continuous queries over streams and relations
    • A. Arasu et al. CQL: A language for continuous queries over streams and relations. In DBPL, pages 1-19, 2003.
    • (2003) DBPL , pp. 1-19
    • Arasu, A.1
  • 3
    • 84925001453 scopus 로고    scopus 로고
    • ULDBs: Databases with uncertainty and lineage
    • O. Benjelloun et al. ULDBs: Databases with uncertainty and lineage. In VLDB, pages 953-964, 2006.
    • (2006) VLDB , pp. 953-964
    • Benjelloun, O.1
  • 4
    • 35448935668 scopus 로고    scopus 로고
    • Sketching probabilistic data streams
    • G. Cormode and M. Garofalakis. Sketching probabilistic data streams. In SIGMOD, pages 281-292, 2007.
    • (2007) SIGMOD , pp. 281-292
    • Cormode, G.1    Garofalakis, M.2
  • 5
    • 36148994784 scopus 로고    scopus 로고
    • Efficient query evaluation on probabilistic databases
    • N. N. Dalvi and D. Suciu. Efficient query evaluation on probabilistic databases. VLDB J., 16(4):523-544, 2007.
    • (2007) VLDB J. , vol.16 , Issue.4 , pp. 523-544
    • Dalvi, N.N.1    Suciu, D.2
  • 6
    • 84859300970 scopus 로고    scopus 로고
    • Asymptotic theory of statistics and probability
    • A. DasGupta. Asymptotic theory of statistics and probability. Springer Verlag, 2008.
    • (2008) Springer Verlag
    • DasGupta, A.1
  • 7
    • 77954442172 scopus 로고    scopus 로고
    • Model-driven data acquisition in sensor networks
    • A. Deshpande et al. Model-driven data acquisition in sensor networks. In VLDB, pages 588-599, 2004.
    • (2004) VLDB , pp. 588-599
    • Deshpande, A.1
  • 8
    • 52649168922 scopus 로고    scopus 로고
    • Handling uncertain data in array database systems
    • T. Ge and S. B. Zdonik. Handling uncertain data in array database systems. In ICDE, pages 1140-1149, 2008.
    • (2008) ICDE , pp. 1140-1149
    • Ge, T.1    Zdonik, S.B.2
  • 9
    • 57149130961 scopus 로고    scopus 로고
    • MCDB: a monte carlo approach to managing uncertain data
    • R. Jampani et al. MCDB: a monte carlo approach to managing uncertain data. In SIGMOD, pages 687-700, 2008.
    • (2008) SIGMOD , pp. 687-700
    • Jampani, R.1
  • 10
    • 84969256729 scopus 로고    scopus 로고
    • Efficient aggregation algorithms for probabilistic data
    • T. S. Jayram et al. Efficient aggregation algorithms for probabilistic data. In SODA, pages 346-355, 2007.
    • (2007) SODA , pp. 346-355
    • Jayram, T.S.1
  • 11
    • 57849134258 scopus 로고    scopus 로고
    • Estimating statistical aggregates on probabilistic data streams
    • T. S. Jayram et al. Estimating statistical aggregates on probabilistic data streams. ACM Trans. Database Syst., 33(4), 2008.
    • (2008) ACM Trans. Database Syst. , vol.33 , Issue.4
    • Jayram, T.S.1
  • 12
    • 52649107508 scopus 로고    scopus 로고
    • Online filtering, smoothing and probabilistic modeling of streaming data
    • B. Kanagal and A. Deshpande. Online filtering, smoothing and probabilistic modeling of streaming data. In ICDE, 1160-1169, 2008.
    • (2008) ICDE , pp. 1160-1169
    • Kanagal, B.1    Deshpande, A.2
  • 13
    • 84859338604 scopus 로고    scopus 로고
    • An end-user-responsive sensor network architecture for hazardous weather detection
    • J. Kurose et al. An end-user-responsive sensor network architecture for hazardous weather detection. In AINTEC, pages 1-15, 2006.
    • (2006) AINTEC , pp. 1-15
    • Kurose, J.1
  • 15
    • 70349843505 scopus 로고    scopus 로고
    • The trichotomy of HAVING queries on a probabilistic database
    • C. Ré and D. Suciu. The trichotomy of HAVING queries on a probabilistic database. The VLDB Journal, 18(5), 1091-1116, 2009.
    • (2009) The VLDB Journal , vol.18 , Issue.5 , pp. 1091-1116
    • Ré, C.1    Suciu, D.2
  • 16
    • 52649155904 scopus 로고    scopus 로고
    • Database support for probabilistic attributes and tuples
    • S. Singh et al. Database support for probabilistic attributes and tuples. In ICDE, pages 1053-1061, 2008.
    • (2008) ICDE , pp. 1053-1061
    • Singh, S.1
  • 17
    • 77952590351 scopus 로고    scopus 로고
    • Embracing uncertainty in large-scale computational astrophysics
    • D. Suciu et al. Embracing uncertainty in large-scale computational astrophysics. In MUD Workshop, 2009.
    • (2009) MUD Workshop
    • Suciu, D.1
  • 18
    • 84859309723 scopus 로고    scopus 로고
    • Conditioning and aggregating uncertain data streams: Going beyond expectations. Technical report 2010-026
    • T. Tran et al. Conditioning and aggregating uncertain data streams: Going beyond expectations. Technical report 2010-026, UMass Amherst, 2010.
    • (2010) UMass Amherst
    • Tran, T.1
  • 19
    • 77954736324 scopus 로고    scopus 로고
    • PODS: A new model and processing algorithms for uncertain data streams
    • T. Tran et al. PODS: A new model and processing algorithms for uncertain data streams. In SIGMOD, pages 159-170, 2010.
    • (2010) SIGMOD , pp. 159-170
    • Tran, T.1
  • 20
    • 67649729549 scopus 로고    scopus 로고
    • Probabilistic inference over RFID streams in mobile environments
    • T. Tran et al. Probabilistic inference over RFID streams in mobile environments. In ICDE, pages 1096-1107, 2009.
    • (2009) ICDE , pp. 1096-1107
    • Tran, T.1


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