Share-Frequent Sensor Patterns Mining from Wireless Sensor Network Data

Mining interesting knowledge from the huge amount of data gathered from WSNs is a challenge. Works reported in literature use support metric-based sensor association rules which employ the occurrence frequency of patterns as criteria. However, consideration of the binary frequency of a pattern is no...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2015-12, Vol.26 (12), p.3471-3484
Hauptverfasser:	Rashid, Md Mamunur, Gondal, Iqbal, Kamruzzaman, Joarder
Format:	Artikel
Sprache:	eng
Schlagworte:	Association rules behavioral patterns Behavioral science Data mining Distributed databases Itemsets Knowledge discovery Monitoring Parallel and distributed processing Parallel processing Sensors share-frequent sensor patterns Wireless sensor networks
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