Back استخراج العمليات Arabic Process-Mining German Εξόρυξη διεργασιών Greek Minería de procesos Spanish Protsessikaeve Estonian فرایندکاوی Persian Process mining Italian プロセスマイニング Japanese Process mining Dutch Eksploracja procesów Polish

Process mining

Process mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information such as resources, costs, and so on.[1][2]

There are three main classes of process mining techniques: process discovery, conformance checking, and process enhancement. In the past, terms like workflow mining and automated business process discovery (ABPD)[3] were used.

  1. ^ van der Aalst, Wil (2016). Process Mining: Data Science in Action.
  2. ^ van der Aalst, Wil (2011). Process Mining: Data Science in Action.
  3. ^ "Automated Business Process Discovery (ABPD)". Gartner.com. Gartner, Inc. 2015. Retrieved 6 January 2015.Gartner Definition.

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