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AIIA
2009
Springer

Relational Temporal Data Mining for Wireless Sensor Networks

8 years 10 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analyse the data observed by sensor nodes of a wireless sensor network. In particular, we extend a general purpose relational sequence mining algorithm to tackle into account temporal interval-based relations. Real-valued time series are discretized into similar subsequences and described by using a relational language. Preliminary experimental results prove the applicability of the relational learning framework to complex real world temporal data. Key words: Wireless Sensor Networks, Relational Sequence Mining, Temporal Patterns
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AIIA
Authors Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
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