A log mining approach for process

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A log mining approach for process

Overview[ edit ] Process mining techniques are often used when no formal description of the process can be obtained by other approaches, or when the quality of existing documentation is questionable. For example, application of process mining methodology to the audit trails of a workflow management systemthe transaction logs of an enterprise resource planning system, or the electronic patient records in a hospital can result in models describing processes, organizations, and products.

Application[ edit ] Process mining follows the options established in business process engineeringthen goes beyond those options by providing feedback for business process modeling: This classification is based on whether there is a prior model and, if so, how the prior model is used during process mining.

Previous a priori models do not exist.

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Based on an event log, a new model is constructed or discovered based on low-level events. For example, using the alpha algorithm a didactically driven approach. Used when there is an a priori model. The existing model is compared with the process event log; discrepancies between the log and the model are analyzed.

For example, there may be a process model indicating that purchase orders of more than 1 million Euro require two checks. Another example is the checking of the so-called "four-eyes" principle. Conformance checking may be used to detect deviations to enrich the model. An example is the extension of a process model with performance data, i.

For each choice the event log is consulted to see which information is typically available the moment the choice is made.

A log mining approach for process

Then classical data mining techniques are used to see which data elements influence the choice. As a result, a decision tree is generated for each choice in the process. The model is extended with a new performance information such as processing times, cycle times, waiting times, costs, etc.

Software for process mining[ edit ] Several open source process mining toolkits are available:T-Mining enables logistic platforms to develop blockchain-enabled software solutions easier & faster through its smart contract framework.

Process-related threats take place when an attacker gains user access rights and performs actions, which look legitimate, but which are intended to disrupt the SCADA process. To detect such threats, we propose a semi-automated approach of log processing. Visualize and assess how your business processes are actually being executed using data-based process discovery with SAP Process Mining software by Celonis.

Process mining is a family of techniques in the field of process management that support the analysis of business processes based on event logs.

Analyze business process performance to achieve real process improvement

During process mining, specialized data mining algorithms are applied to event log data in order to identify trends, patterns and details contained in event logs recorded by an information system. To illustrate the principle of process mining, we consider the workflow log shown in Table 1.

This log contains information about five cases (i.e., workflow instances).

A log mining approach for process

Process mining is a family of techniques in the field of process management that support the analysis of business processes based on event logs.

During process mining, specialized data mining algorithms are applied to event log data in order to identify trends, patterns and details contained in event logs recorded by an information system.

SAP Process Mining by Celonis | Technology