Gergely Ollos

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Motivated by earlier work on adaptive event forecasting, this paper proposes a procedural event signature extraction method for wireless sensor networks, and a probabilistic approach to model non i.i.d. (independent and identically distributed) aperiodic traffic, which is then used to demonstrate the effectiveness of the proposed signature extraction method(More)
Signature extraction constitutes an imperative part of a reliable event forecasting system in distributed environments like wireless sensor networks. Recently we published an event forecasting framework which heavily relied on clear, artifact-free event signatures. In this paper we introduce a competitive signature extraction scheme, which can fulfill the(More)
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