# Streaming Process Discovery and Conformance Checking

## Abstract

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.

## Paper Information and Files

Published in Sakr S., Zomaya A. (eds) Encyclopedia of Big Data Technologies.

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