W. M. Van-der-aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, 2011.

W. M. Van-der-aalst, Decomposing Petri Nets for Process Mining: A Generic Approach. Distributed and Parallel Databases, pp.471-507, 2013.

W. M. Van-der-aalst, Process Cubes: Slicing, Dicing, Rolling Up and??Drilling??Down??Event??Data??for??Process??Mining, Asia Pacific Conference on Business Process Management (AP-BPM 2013), pp.1-22, 2013.
DOI : 10.1109/CIDM.2011.5949428

W. M. Van-der-aalst, Process Mining: Data science in Action, Coursera Course, 2014.

W. M. Van-der-aalst, A. Adriansyah, and B. Van-dongen, Replaying history on process models for conformance checking and performance analysis, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol.36, issue.2, pp.182-192, 2012.
DOI : 10.1016/j.is.2010.09.001

W. M. Van-der-aalst and S. Dustdar, Process Mining Put into Context, IEEE Internet Computing, vol.16, issue.1, pp.82-86, 2012.
DOI : 10.1109/MIC.2012.12

W. M. Van-der-aalst, H. A. Reijers, and M. Song, Discovering Social Networks from Event Logs, Discovering Social Networks from Event Logs, pp.549-593, 2005.
DOI : 10.1017/CBO9780511815478

W. M. Van-der-aalst, A. J. Weijters, and L. Maruster, Workflow mining: discovering process models from event logs, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.9, pp.1128-1142, 2004.
DOI : 10.1109/TKDE.2004.47

A. Adriansyah, B. Van-dongen, and W. M. Van-der-aalst, Conformance Checking Using Cost-Based Fitness Analysis, 2011 IEEE 15th International Enterprise Distributed Object Computing Conference, pp.55-64, 2011.
DOI : 10.1109/EDOC.2011.12
URL : http://wwwis.win.tue.nl/%7Ewvdaalst/publications/p630.pdf

A. Adriansyah, B. F. Van-dongen, and W. M. Van-der-aalst, Towards Robust Conformance Checking, BPM 2010 Workshops, Proceedings of the Sixth Workshop on Business Process Intelligence (BPI2010), volume 66 of Lecture Notes in Business Information Processing, pp.122-133, 2011.
DOI : 10.1007/978-3-642-12186-9_15
URL : http://wwwis.win.tue.nl/%7Ewvdaalst/publications/p610.pdf

A. Adriansyah, N. Sidorova, and B. F. Van-dongen, Cost-Based Fitness in Conformance Checking, 2011 Eleventh International Conference on Application of Concurrency to System Design, pp.57-66, 2011.
DOI : 10.1109/ACSD.2011.19
URL : https://pure.tue.nl/ws/files/3421274/Metis256256.pdf

R. Agrawal, D. Gunopulos, and F. Leymann, Mining process models from workflow logs, Sixth International Conference on Extending Database Technology, pp.469-483, 1998.
DOI : 10.1007/BFb0101003
URL : http://www.lido.dist.unige.it/LavoriStudenti/DM/doc/edbt98_flowmk_rj.pdf

R. Bergenthum, J. Desel, R. Lorenz, and S. Mauser, Process Mining Based on Regions of Languages, International Conference on Business Process Management, pp.375-383, 2007.
DOI : 10.1007/978-3-540-75183-0_27

S. Brasch, G. Fuellen, and L. Linsen, VENLO: Interactive Visual Exploration of Aligned Biological Networks and Their Evolution, Visualization in Medicine and Life Sciences II, Mathematics and visualization, pp.231-249, 2012.
DOI : 10.1007/978-3-642-21608-4_13

T. Calders, C. Guenther, M. Pechenizkiy, and A. Rozinat, Using minimum description length for process mining, Proceedings of the 2009 ACM symposium on Applied Computing, SAC '09, pp.1451-1455, 2009.
DOI : 10.1145/1529282.1529606
URL : http://wwwis.win.tue.nl/~tcalders/pubs/CALDERSSACDM09.pdf

T. Calders and M. Pechenizkiy, Introduction to the special section on educational data mining, ACM SIGKDD Explorations Newsletter, vol.13, issue.2, pp.3-6, 2012.
DOI : 10.1145/2207243.2207245

J. Carmona and J. Cortadella, Process Mining Meets Abstract Interpretation, Lecture Notes in Artificial Intelligence, vol.210, issue.6321, pp.184-199, 2010.
DOI : 10.1007/978-3-642-15880-3_18
URL : http://www.lsi.upc.edu/~jordicf/gavina/BIB/files/ECML_PKDD_2010.pdf

J. Carmona, J. Cortadella, and M. Kishinevsky, A Region-Based Algorithm for Discovering Petri Nets from Event Logs, Business Process Management (BPM2008), pp.358-373, 2008.
DOI : 10.1109/TKDE.2004.47

S. Chaudhuri and U. Dayal, An overview of data warehousing and OLAP technology, ACM SIGMOD Record, vol.26, issue.1, pp.65-74, 1997.
DOI : 10.1145/248603.248616

J. E. Cook and A. L. Wolf, Discovering models of software processes from event-based data, ACM Transactions on Software Engineering and Methodology, vol.7, issue.3, pp.215-249, 1998.
DOI : 10.1145/287000.287001

J. E. Cook and A. L. Wolf, Software process validation: quantitatively measuring the correspondence of a process to a model, ACM Transactions on Software Engineering and Methodology, vol.8, issue.2, pp.147-176, 1999.
DOI : 10.1145/304399.304401

W. Gaaloul, K. Gaaloul, S. Bhiri, A. Haller, and M. Hauswirth, Log-Based Transactional Workflow Mining. Distributed and Parallel Databases, pp.193-240, 2009.
DOI : 10.1007/s10619-009-7040-0
URL : https://hal.archives-ouvertes.fr/hal-00441545

S. Goedertier, D. Martens, J. Vanthienen, and B. Baesens, Robust Process Discovery with Artificial Negative Events, Journal of Machine Learning Research, vol.10, pp.1305-1340, 2009.

P. Gorissen, Facilitating the Use of Recorded Lectures: Analysing Students' Interactions to Understand Their Navigational Needs, 2013.

C. W. Günther and W. M. Van-der-aalst, Fuzzy Mining ??? Adaptive Process Simplification Based on Multi-perspective Metrics, International Conference on Business Process Management, pp.328-343, 2007.
DOI : 10.1007/978-3-540-75183-0_24

S. J. Leemans, D. Fahland, and W. M. Van-der-aalst, Discovering Block-Structured Process Models from Event Logs - A Constructive Approach, Applications and Theory of Petri Nets 2013, pp.311-329, 2013.
DOI : 10.1007/978-3-642-38697-8_17
URL : http://www.processmining.org/_media/blogs/pub2013/pn2013leemans.pdf

S. J. Leemans, D. Fahland, and W. M. Van-der-aalst, Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour, Business Process Management Workshops, International Workshop on Business Process Intelligence, pp.66-78, 2014.
DOI : 10.1007/978-3-319-06257-0_6

T. Mamaliga, Realizing a Process Cube Allowing for the Comparison of Event Data

R. Mans, W. M. Van-der-aalst, and E. Verbeek, Supporting Process Mining Workflows with RapidProM, Business Process Management Demo Sessions volume 1295 of CEUR Workshop Proceedings, pp.56-60, 2014.

A. K. Alves-de-medeiros, A. J. Weijters, and W. M. Van-der-aalst, Genetic process mining: an experimental evaluation, Data Mining and Knowledge Discovery, vol.10, issue.2, pp.245-304, 2007.
DOI : 10.1007/978-3-662-05094-1

J. Munoz-gama and J. Carmona, A Fresh Look at Precision in Process Conformance, Business Process Management, pp.211-226, 2010.
DOI : 10.1007/978-3-642-15618-2_16

J. Munoz-gama and J. Carmona, Enhancing precision in Process Conformance: Stability, confidence and severity, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp.184-191, 2011.
DOI : 10.1109/CIDM.2011.5949451

I. Naydenova and K. Kaloyanova, Sparsity Handling and Data Explosion in OLAP Systems, Mediterranean Conference on Information Systems, p.62, 2010.

M. Pechenizkiy, N. Trcka, E. Vasilyeva, W. M. Van-der-aalst, P. De et al., Process Mining Online Assessment Data, Educational Data Mining, pp.279-288, 2009.

M. L. Rosa, H. A. Reijers, W. M. Van-der-aalst, R. M. Dijkman, J. Mendling et al., APROMORE: An advanced process model repository, Expert Systems with Applications, vol.38, issue.6, pp.387029-7040, 2011.
DOI : 10.1016/j.eswa.2010.12.012

A. Rozinat and W. M. Van-der-aalst, Conformance checking of processes based on monitoring real behavior, Information Systems, vol.33, issue.1, pp.64-95, 2008.
DOI : 10.1016/j.is.2007.07.001

G. Siemens and R. Baker, Learning analytics and educational data mining, Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, LAK '12, pp.252-254
DOI : 10.1145/2330601.2330661

M. Sole and J. Carmona, Process Mining from a Basis of State Regions, Lecture Notes in Computer Science, vol.6128, pp.226-245, 2010.
DOI : 10.1007/978-3-642-13675-7_14

M. Song and W. M. Van-der-aalst, Supporting Process Mining by Showing Events at a Glance, Proceedings of 17th Annual Workshop on Information Technologies and Systems, pp.139-145, 2007.

N. Trcka, M. Pechenizkiy, and W. M. Van-der-aalst, Chapter 9: Process Mining from Educational Data, Handbook of Educational Data Mining, pp.123-142, 2010.
DOI : 10.1201/b10274-11

J. De-weerdt, M. De-backer, J. Vanthienen, and B. Baesens, A robust F-measure for evaluating discovered process models, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp.148-155, 2011.
DOI : 10.1109/CIDM.2011.5949428

A. J. Weijters and W. M. Van-der-aalst, Rediscovering Workflow Models from Event-Based Data using Little Thumb, Integrated Computer-Aided Engineering, vol.10, issue.2, pp.151-162, 2003.