DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing
Adar Amir, Ilya Kolchinsky, Assaf Schuster
Abstract
Complex event processing (CEP) is employed to detect user-specified patterns of events in data streams. CEP mechanisms operate by maintaining all sets of events that can potentially be composed into a pattern match. This approach can be wasteful when many of the sets do not participate in an actual match and are therefore discarded.
Topics & Concepts
Complex event processingComputer scienceEvent (particle physics)Artificial intelligenceData stream miningData miningMachine learningProcess (computing)Programming languagePhysicsQuantum mechanicsAdvanced Database Systems and QueriesTime Series Analysis and ForecastingData Quality and Management