Mining maximal frequent patterns by considering weight conditions over data streams

Frequent pattern mining over data streams is currently one of the most interesting fields in data mining. Current databases have needed more immediate processes since enormous amounts of data are being accumulated and updated in real time. However, existing traditional approaches have not been entir...

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Veröffentlicht in:	Knowledge-based systems 2014-01, Vol.55, p.49-65
Hauptverfasser:	Yun, Unil, Lee, Gangin, Ryu, Keun Ho
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data mining Data stream Data transmission Knowledge base Knowledge discovery Maximal frequent pattern mining Pattern analysis Pattern recognition Scanning Streaming Streams Weight condition
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