Infrequent Item mining in multiple data streams
The problem of extracting infrequent patterns from streams and building associations between these patterns is becoming increasingly relevant today as many events of interest such as attacks in network data or unusual stories in news data occur rarely. The complexity of the problem is compounded whe...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IEEE computer society publishing services
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/8427 |