1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchOlga Poppehttps://www.microsoft.com/en-us/research/people/olpoppe/Complete Event Trend Detection in High-Rate Event Streams - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="GseoM3tcZ3"><a href="https://www.microsoft.com/en-us/research/publication/cet/">Complete Event Trend Detection in High-Rate Event Streams</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/cet/embed/#?secret=GseoM3tcZ3" width="600" height="338" title="“Complete Event Trend Detection in High-Rate Event Streams” — Microsoft Research" data-secret="GseoM3tcZ3" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Event processing applications from financial fraud detection to health care analytics continuously execute event queries with Kleene closure to extract event sequences of arbitrary, statically unknown length, called Complete Event Trends (CETs). Due to common event sub-sequences in CETs, either the responsiveness is delayed by repeated computations or an exorbitant amount of memory is required […]