Process mining is a Business Process Management (BPM) technique that uses execution data of business processes for their analysis. By transforming the data to so-called event logs, process mining tools generate process models that describe the executions as close as possible. Process discovery can result either in graph-based notations (e.g., Petri nets or BPMN) or declarative ones like Declare. One hypothesis in this work is that declarative constraint templates can support model understanding in case process mining results in large, confusing "spaghetti" diagrams. Overall, this work contributes an approach including a prototypical implementation for applying association rule and sequential pattern mining to event logs for discovering decl...
Operational processes leave trails in the information systems supporting them. Such event data are t...
Purpose: The purpose of this paper is to demonstrate that process mining techniques can help to disc...
Declarative process models consist of a set of constraints exerted over the execution of process act...
Process mining techniques can be used to effectively discover process models from logs with example ...
Automated process discovery techniques enable users to generate business process models from event l...
Automated process discovery is a branch of process mining that allows users to extract process model...
Declarative process management has emerged as an alternative solution for describing flexible workfl...
Declarative process models consist of a set of constraints exerted over the execution of process act...
Declarative business process (BP) models define the behavior of BPs as a set of temporal constraints...
The aim of process discovery is to build a process model from an event log without prior information...
The aim of process discovery is to build a process model from an event log without prior information...
Process mining techniques often reveal that real-life processes are more variable than anticipated. ...
Process discovery is one of the main branches of process mining that allows the user to build a proc...
Process mining can be seen as the "missing link" between data mining and business process management...
Operational processes leave trails in the information systems supporting them. Such event data are t...
Purpose: The purpose of this paper is to demonstrate that process mining techniques can help to disc...
Declarative process models consist of a set of constraints exerted over the execution of process act...
Process mining techniques can be used to effectively discover process models from logs with example ...
Automated process discovery techniques enable users to generate business process models from event l...
Automated process discovery is a branch of process mining that allows users to extract process model...
Declarative process management has emerged as an alternative solution for describing flexible workfl...
Declarative process models consist of a set of constraints exerted over the execution of process act...
Declarative business process (BP) models define the behavior of BPs as a set of temporal constraints...
The aim of process discovery is to build a process model from an event log without prior information...
The aim of process discovery is to build a process model from an event log without prior information...
Process mining techniques often reveal that real-life processes are more variable than anticipated. ...
Process discovery is one of the main branches of process mining that allows the user to build a proc...
Process mining can be seen as the "missing link" between data mining and business process management...
Operational processes leave trails in the information systems supporting them. Such event data are t...
Purpose: The purpose of this paper is to demonstrate that process mining techniques can help to disc...
Declarative process models consist of a set of constraints exerted over the execution of process act...