Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity
Evangelos Michelioudakis,
Alexander Artikis,
Georgios Paliouras
Abstract:Symbolic event recognition systems detect event occurrences using first-order logic rules. Although existing online structure learning approaches ease the discovery of such rules in noisy data streams, they assume the existence of fully labelled training data. Splice is a recent online graph-based approach that estimates the labels of unlabelled data and makes it possible to learn such rules from semi-supervised training sequences of logical interpretations. However, Splice labelling depends significantly on t… Show more
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