The act of retrieving process models from event-based data logs can offer valuable information to business owners. Many approaches have been proposed for this purpose, mining for either a procedural or declarative outcome. A blended approach that combines both process model paradigms exists and offers a great way to deal with process environments which consist of different layers of flexibility. In this paper, it will be shown how to check such models for correctness, and how this checking can contribute to retrieving the models as well. The approach is based on intersecting both parts of the model and provides an effective way to check (i) whether the behavior is aligned, and (ii) where the model can be improved according to errors that ar...
Mixed-paradigm process models integrate strengths of procedural and declarative representations like...
Process mining is not restricted to process discovery and also includes conformance checking, i.e., ...
The problem of automated discovery of process models from event logs has been intensively researched...
The act of retrieving process models from event-based data logs can offer valuable information to bu...
The research area of business process mining has vastly matured in recent years. Its main focus cent...
Process mining seeks the confrontation between modeled behavior and observed behavior. In recent yea...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Process mining seeks the confrontation between modeled behavior and observed behavior. In recent yea...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Business process mining is a well-established field of research which focuses on the automatic retri...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Process mining [1] is a new technology, which provids variety of methods to discover, monitor and im...
Process mining includes the automated discovery of processes from event logs. Based on observed even...
Process mining can be seen as the missing link between data mining and business process management...
Process mining techniques aim to extract knowledge from event logs. Conformance checking is one of t...
Mixed-paradigm process models integrate strengths of procedural and declarative representations like...
Process mining is not restricted to process discovery and also includes conformance checking, i.e., ...
The problem of automated discovery of process models from event logs has been intensively researched...
The act of retrieving process models from event-based data logs can offer valuable information to bu...
The research area of business process mining has vastly matured in recent years. Its main focus cent...
Process mining seeks the confrontation between modeled behavior and observed behavior. In recent yea...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Process mining seeks the confrontation between modeled behavior and observed behavior. In recent yea...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Business process mining is a well-established field of research which focuses on the automatic retri...
Process mining techniques relate observed behavior (i.e., event logs) to modeled behavior (e.g., a B...
Process mining [1] is a new technology, which provids variety of methods to discover, monitor and im...
Process mining includes the automated discovery of processes from event logs. Based on observed even...
Process mining can be seen as the missing link between data mining and business process management...
Process mining techniques aim to extract knowledge from event logs. Conformance checking is one of t...
Mixed-paradigm process models integrate strengths of procedural and declarative representations like...
Process mining is not restricted to process discovery and also includes conformance checking, i.e., ...
The problem of automated discovery of process models from event logs has been intensively researched...