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  2. Process mining - Wikipedia

    en.wikipedia.org/wiki/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 ...

  3. Alpha algorithm - Wikipedia

    en.wikipedia.org/wiki/Alpha_algorithm

    The α-algorithm or α-miner is an algorithm used in process mining, aimed at reconstructing causality from a set of sequences of events. It was first put forward by van der Aalst, Weijters and Măruşter. [1] The goal of Alpha miner is to convert the event log into a workflow-net based on the relations between various activities in the event log.

  4. Conformance checking - Wikipedia

    en.wikipedia.org/wiki/Conformance_checking

    Business process conformance checking (a.k.a. conformance checking for short) is a family of process mining techniques to compare a process model with an event log of the same process. [1] It is used to check if the actual execution of a business process , as recorded in the event log, conforms to the model and vice versa.

  5. Business process discovery - Wikipedia

    en.wikipedia.org/wiki/Business_process_discovery

    The event logs used for discovery could contain noise, irregular information, and inconsistent/incorrect timestamps. Process discovery is challenging due to such noisy event logs and because the event log contains only a part of the actual process hidden behind the system. The discovery algorithms should solely depend on a small percentage of ...

  6. Inductive miner - Wikipedia

    en.wikipedia.org/wiki/Inductive_miner

    A number of techniques such as alpha miner, genetic miner, work on the basis of converting an event log into a workflow model, however, they do not produce models that are sound all the time. Inductive miner relies on building a directly follows graph from event log and using this graph to detect various process relations. [2]

  7. Decision mining - Wikipedia

    en.wikipedia.org/wiki/Decision_mining

    The event log not only contains the activity details, but also timestamps, resources and data accompanied with process execution. Careful analysis of the external details from the event log can reveal useful information that can be used for making predictions on decisions that might be taken in the future ( decision mining ), efficiency and ...

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  9. Event monitoring - Wikipedia

    en.wikipedia.org/wiki/Event_monitoring

    Event log analysis is the process of analyzing the filtered event log to aggregate event occurrences or to decide whether or not an event occurrence should be signalled. Event signalling is the process of signalling event occurrences over the event bus. Something that is monitored is denoted the monitored object; for example, an application, an ...

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