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Volumn , Issue , 2008, Pages 1382-1384

Efficient aggregate computation over data streams

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; HEURISTIC METHODS; HEURISTIC PROGRAMMING; INTERNET PROTOCOLS; MANAGEMENT INFORMATION SYSTEMS; RIVERS; TECHNOLOGY; WAVE FILTERS;

EID: 52649166702     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2008.4497563     Document Type: Conference Paper
Times cited : (6)

References (19)
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  • 6
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    • Carney, D.1
  • 7
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    • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World
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  • 8
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    • Charikar, M.1
  • 9
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    • NiagaraCQ: A Scalable Continuous Query System for Internet Databases
    • Jianjun Chen et al. NiagaraCQ: A Scalable Continuous Query System for Internet Databases. In SIGMOD, 2000.
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    • Chen, J.1
  • 10
    • 29844443483 scopus 로고    scopus 로고
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    • (2004) EDBT
    • Dobra, A.1
  • 11
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    • V. Harinarayan et al. Implementing Data Cubes Efficiently. In SIGMOD, 1996.
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  • 12
    • 34250685048 scopus 로고    scopus 로고
    • On-the-Fly Sharing for Streamed Aggregation
    • Sailesh Krishnamurthy et al. On-the-Fly Sharing for Streamed Aggregation. In SIGMOD, 2006.
    • (2006) SIGMOD
    • Krishnamurthy, S.1
  • 13
    • 0036361162 scopus 로고    scopus 로고
    • Continuously Adaptive Continuous Queries over Data Streams
    • S. Madden et al. Continuously Adaptive Continuous Queries over Data Streams. In SIGMOD, 2002.
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  • 14
    • 52649092710 scopus 로고    scopus 로고
    • Efficient Aggregate Computation over Data Streams
    • Technical Report ITD-06-47360D, Bell Laboratories, Dec
    • Kanthi Nagaraj et al. Efficient Aggregate Computation over Data Streams. Technical Report ITD-06-47360D, Bell Laboratories, Dec 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.