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» MAIDS: Mining Alarming Incidents from Data Streams
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SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 4 months ago
MAIDS: Mining Alarming Incidents from Data Streams
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,...
FLAIRS
2007
13 years 6 months ago
Fuzzy Temporal Relations for Fault Management
In this paper we shall introduce an approach that forms a basis for temporal data mining. A relation algebra is applied for the purpose of representing simultaneously dependencies...
Hanna Bauerdick, Björn Gottfried