Page 360 -
P. 360

342                                                        References


             14. R.P.J.C. Bose and W.M.P. van der Aalst. Trace Alignment in Process Mining: Opportunities
                for Process Diagnostics. In R. Hull, J. Mendling, and S. Tai, editors, Business Process Man-
                agement (BPM 2010), volume 6336 of Lecture Notes in Computer Science, pages 227–242.
                Springer, Berlin, 2010.
             15. M. Bramer. Principles of Data Mining. Springer, Berlin, 2007.
             16. C. Bratosin, N. Sidorova, and W.M.P. van der Aalst. Distributed Genetic Process Mining.
                In H. Ishibuchi, editor, IEEE World Congress on Computational Intelligence (WCCI 2010),
                pages 1951–1958, Barcelona, Spain, July 2010. IEEE Press, New York, NY, 2010.
             17. A. Burattin and A. Sperduti. PLG: A Framework for the Generation of Business Process
                Models and Their Execution Logs. In J. Su and M. zur Muehlen, editors, BPM 2010 Work-
                shops, Proceedings of the 6th Workshop on Business Process Intelligence (BPI2010), Lecture
                Notes in Business Information Processing. Springer, Berlin, 2011.
             18. J. Carmona and J. Cortadella. Process Mining Meets Abstract Interpretation. In J.L. Bal-
                cazar, editor, ECML/PKDD 2010, volume 6321 of Lecture Notes in Artificial Intelligence,
                pages 184–199. Springer, Berlin, 2010.
             19. P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz, C. Shearer, and R. Wirth. CRISP-
                DM 1.0: Step-by-Step Data Mining Guide. www.crisp-dm.org, 2000.
             20. E.M. Clarke, O. Grumberg, and D.A. Peled. Model Checking. MIT Press, Cambridge, MA,
                1999.
             21. B.D. Clinton and A. van der Merwe. Management Accounting: Approaches, Techniques, and
                Management Processes. Cost Management, 20(3):14–22, 2006.
             22. J.E. Cook and A.L. Wolf. Discovering Models of Software Processes from Event-Based Data.
                ACM Transactions on Software Engineering and Methodology, 7(3):215–249, 1998.
             23. J. Cortadella, M. Kishinevsky, L. Lavagno, and A. Yakovlev. Deriving Petri Nets from Finite
                Transition Systems. IEEE Transactions on Computers, 47(8):859–882, 1998.
             24. CoSeLoG. Configurable Services for Local Governments (CoSeLoG) Project Home Page.
                www.win.tue.nl/coselog.
             25. T. Curran and G. Keller. SAP R/3 Business Blueprint: Understanding the Business Process
                Reference Model. Prentice-Hall, Upper Saddle River, NJ, 1997.
             26. A. Datta. Automating the Discovery of As-Is Business Process Models: Probabilistic and
                Algorithmic Approaches. Information Systems Research, 9(3):275–301, 1998.
             27. S. Davidson, S. Cohen-Boulakia, A. Eyal, B. Ludaescher, T. McPhillips, S. Bowers, M.
                Anand, and J. Freire. Provenance in Scientific Workflow Systems. Data Engineering Bul-
                letin, 30(4):44–50, 2007.
             28. M. de Leoni, W.M.P. van der Aalst, and A.H.M. ter Hofstede. Visual Support for Work As-
                signment in Process-Aware Information Systems. In M. Dumas, M. Reichert, and M.C. Shan,
                editors, International Conference on Business Process Management (BPM 2008), volume
                5240 of Lecture Notes in Computer Science, pages 67–83. Springer, Berlin, 2008.
             29. A.K.A de Medeiros. Genetic Process Mining. PhD Thesis, Eindhoven University of Tech-
                nology, 2006.
             30. A.K.A. de Medeiros, W.M.P. van der Aalst, and A.J.M.M. Weijters. Workflow Mining: Cur-
                rent Status and Future Directions. In R. Meersman, Z. Tari, and D.C. Schmidt, editors, On
                the Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, volume 2888
                of Lecture Notes in Computer Science, pages 389–406. Springer, Berlin, 2003.
             31. A.K.A de Medeiros, A.J.M.M. Weijters, and W.M.P. van der Aalst. Genetic Process Mining:
                An Experimental Evaluation. Data Mining and Knowledge Discovery, 14(2):245–304, 2007.
             32. A.K.A de Medeiros, A. Guzzo, G. Greco, W.M.P. van der Aalst, A.J.M.M. Weijters, B.
                van Dongen, and D. Sacca. Process Mining Based on Clustering: A Quest for Precision.
                In A. ter Hofstede, B. Benatallah, and H.Y. Paik, editors, BPM 2007 International Work-
                shops (BPI, BPD, CBP, ProHealth, RefMod, Semantics4ws), volume 4928 of Lecture Notes
                in Computer Science, pages 17–29. Springer, Berlin, 2008.
             33. A.K.A. de Medeiros, W.M.P. van der Aalst, and A.J.M.M. Weijters. Quantifying Process
                Equivalence Based on Observed Behavior. Data and Knowledge Engineering, 64(1):55–74,
                2008.
   355   356   357   358   359   360   361   362   363   364   365