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arXiv · 1003.2823

Targeted Event Detection

Werner Stuetzle·Donald B. Percival·Caren Marzban
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Abstract

We consider the problem of event detection based upon a (typically multivariate) data stream characterizing some system. Most of the time the system is quiescent - nothing of interest is happening - but occasionally events of interest occur. The goal of event detection is to raise an alarm as soon as possible after the onset of an event. A simple way of addressing the event detection problem is to look for changes in the data stream and equate `change' with `onset of event'. However, there might be many kinds of changes in the stream that are uninteresting. We assume that we are given a segment of the stream where interesting events have been marked. We propose a method for using these training data to construct a `targeted' detector that is specifically sensitive to changes signaling the onset of interesting events.

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Werner Stuetzle, Donald B. Percival, Caren Marzban. 2010-03-14. Targeted Event Detection. https://arxiv.org/abs/1003.2823

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