A neuro-symbolic approach trains a sequence tagger on limited examples to propose event interpretations and refines them via an Abstract Argumentation Framework to handle uncertain mappings in process streams.
A survey on data-efficient algorithms in big data era.Journal of Big Data8, 24 (2021)
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Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
A neuro-symbolic approach trains a sequence tagger on limited examples to propose event interpretations and refines them via an Abstract Argumentation Framework to handle uncertain mappings in process streams.