Streaming Process Discovery and Conformance Checking

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Streaming process discovery, streaming conformance checking, and streaming process mining in general (also known as online process mining) are disciplines which
analyze event streams to extract a process model or to assess their conformance with respect to a given reference model. The main characteristic of this family of techniques is to analyze events immediately as they are generated (instead of storing them in a log for late processing). This allows to drastically reduce the latency among phases of the BPM lifecycle (cf. Dumas et al (2013)), thus allowing faster process adaptations and better executions.
Original languageEnglish
Title of host publicationEncyclopedia of Big Data Technologies
EditorsSherif Sakr , Albert Zomaya
Number of pages11
Publication date2018
ISBN (Print)978-3-319-63962-8
Publication statusPublished - 2018


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