- Inducing Process-Based Models of Dynamic Systems from Multiple Data Sets
D. Cerepnalkoski, K. Taskova, L. Todorovski, and S. Dzeroski
- Learning Rules from User Behaviour
D. Corapi, O. Ray, A. Russo, A. Bandara, and E. Lupu
- Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study
M. Jans, N. Lybaert, and K. Vanhoof
- Supply Chain Management by Means of FLM-Rules
N. Le Normand, J. Boissiere, N. Meger, and L. Valet
- Supporting Conceptual Knowledge Capture Through Automatic Modelling
J. Liem, H. Buisman, and B. Bredeweg
- Using Hidden Markov Models to Evaluate the Quality of Discovered Process Models
A. Rozinat, M. Veloso, and W.M.P. van der Aalst
- Discovering Process Models: a Multi-Relational Approach
A. Turi, A. Appice, M. Ceci, and D. Malerba
- Efficiently Learning Simple Timed Automata
S. Verwer, M. de Weerdt, and C. Witteveen
- Machine Learning and Data Mining Approaches to Biodegradation Pathway Prediction
J. Wicker, K. Fenner, L. Ellis, L. Wackett, and Stefan Kramer
Note: ECML PKDD workshop papers should be considered informal technical
reports describing ongoing research. They are not to be considered papers at
the main ECML PKDD conference, and have not gone through the main ECML PKDD
reviewing procedure.
