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Volumn 4793 LNCS, Issue , 2007, Pages 270-285

Escalation: Complex event detection in wireless sensor networks

Author keywords

Complex events; Data compression; Event detection; Network control; Parameter free detection; Reactive sensor networks

Indexed keywords

DATA COMPRESSION; DATA MINING; QUERY LANGUAGES; SET THEORY;

EID: 38449087830     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75696-5_17     Document Type: Conference Paper
Times cited : (34)

References (33)
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  • 8
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    • Data
    • Madden, S.: Intel Lab Data (2004), http://berkeley.intel-research.net/ labdata/
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    • Madden, S.1
  • 11
    • 34548547034 scopus 로고    scopus 로고
    • Keogh, E., Lin, J., Fu, A.: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. In: Proceedings of IEEE International Conference on Data Mining, IEEE Computer Society Press, Los Alamitos (2005)
    • Keogh, E., Lin, J., Fu, A.: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. In: Proceedings of IEEE International Conference on Data Mining, IEEE Computer Society Press, Los Alamitos (2005)
  • 13
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    • Data Mining Archive
    • Keogh, E.: The Time Series Data Mining Archive, http://www.cs.ucr.edu/ ~eamonn/TSDMA/index.html
    • Series, The Time
    • Keogh, E.1
  • 29
    • 33645784348 scopus 로고    scopus 로고
    • Exposing resource tradeoffs in region-based communication abstractions for sensor networks
    • Welsh, M.: Exposing resource tradeoffs in region-based communication abstractions for sensor networks. SIGCOMM Comput. Commun. Rev. 34(1) (2004)
    • (2004) SIGCOMM Comput. Commun. Rev , vol.34 , Issue.1
    • Welsh, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.