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    SIGMOD
    2004
    ACM
    209views Database» more  SIGMOD 2004»
    MAIDS: Mining Alarming Incidents from Data Streams
    14 years 7 months ago
    MAIDS: Mining Alarming Incidents from Data Streams
    Download  algdocs.ncsa.uiuc.edu
    Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
    Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
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