Infrequent Item mining in multiple data streams

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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...

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Bibliographic Details
Main Authors:	Saha, Budhaditya, Lazarescu, Mihai, Venkatesh, Svetha
Other Authors:	IEEE computer society
Format:	Conference Paper
Published:	IEEE computer society publishing services 2007
Online Access:	http://hdl.handle.net/20.500.11937/8427

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