Process discovery in event logs: An application in the telecom industry
Applied Soft Computing
Process compliance analysis based on behavioural profiles
Information Systems
Distributed process discovery and conformance checking
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
Replaying history on process models for conformance checking and performance analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation
Fundamenta Informaticae - Applications and Theory of Petri Nets and Other Models of Concurrency, 2010
Improved artificial negative event generation to enhance process event logs
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Decomposing process mining problems using passages
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
Repairing process models to reflect reality
BPM'12 Proceedings of the 10th international conference on Business Process Management
Where did i misbehave? diagnostic information in compliance checking
BPM'12 Proceedings of the 10th international conference on Business Process Management
Comprehensive rule-based compliance checking and risk management with process mining
Decision Support Systems
Getting a grasp on clinical pathway data: an approach based on process mining
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
A knowledge-based integrated approach for discovering and repairing declare maps
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Discovering data-aware declarative process models from event logs
BPM'13 Proceedings of the 11th international conference on Business Process Management
Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port
Expert Systems with Applications: An International Journal
Decomposing Petri nets for process mining: A generic approach
Distributed and Parallel Databases
Process Discovery and Conformance Checking Using Passages
Fundamenta Informaticae - Application and Theory of Petri Nets and Concurrency, 2012
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Process discovery is the automated construction of structured process models from information system event logs. Such event logs often contain positive examples only. Without negative examples, it is a challenge to strike the right balance between recall and specificity, and to deal with problems such as expressiveness, noise, incomplete event logs, or the inclusion of prior knowledge. In this paper, we present a configurable technique that deals with these challenges by representing process discovery as a multi-relational classification problem on event logs supplemented with Artificially Generated Negative Events (AGNEs). This problem formulation allows using learning algorithms and evaluation techniques that are well-know in the machine learning community. Moreover, it allows users to have a declarative control over the inductive bias and language bias.