Browse By Person: Leemans, Sander J.J.

Leemans, Sander J.J., McGree, James M., Polyvyanyy, Artem, & Hofstede, Arthur H.M.ter (2023) Statistical Tests and Association Measures for Business Processes. IEEE Transactions on Knowledge and Data Engineering, 35(7), pp. 7497-7511.

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Depaire, Benoît, Janssenswillen, Gert, & Leemans, Sander J.J. (2022) Alpha Precision: Estimating the Significant System Behavior in a Model. In Di Ciccio, Claudio, Dijkman, Remco, del Rio Ortega, Adela, & Rinderle-Ma, Stefanie (Eds.) Business Process Management Forum - BPM 2022 Forum, Proceedings. Springer, Cham, Switzerland, pp. 120-136.

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Leemans, Sander J.J. & Tax, Niek (2022) Causal Reasoning over Control-Flow Decisions in Process Models. In Franch, Xavier, Poels, Geert, Gailly, Frederik, & Snoeck, Monique (Eds.) Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6-10, 2022, Proceedings. Springer, Cham, Switzerland, pp. 183-200.

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Mamudu, Azumah, Bandara, Wasana, Wynn, Moe Thandar, & Leemans, Sander (2022) A Process Mining Success Factors Model. In Di Ciccio, Claudio, Dijkman, Remco, del Rio Ortega, Adela, & Rinderle-Ma, Stefanie (Eds.) Business Process Management: 20th International Conference, BPM 2022, Munster, Germany, September 11-16, 2022, Proceedings. Springer, Cham, Switzerland, pp. 143-160.

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Goel, Kanika, Leemans, Sander, Martin, Niels, & Wynn, Moe Thandar (2022) Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations. ACM Transactions on Knowledge Discovery from Data, 16(5), Article number: 97.

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Fehrer, Tobias, Fischer, Dominik A., Leemans, Sander J.J., Roeglinger, Maximilian, & Wynn, Moe T. (2022) An assisted approach to business process redesign. Decision Support Systems, 156, Article number: 113749.

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Banham, Adam, Leemans, Sander, Wynn, Moe Thandar, & Andrews, Robert (2022) xPM: A Framework for Process Mining with Exogenous Data. In Munoz-Gama, Jorge & Lu, Xixi (Eds.) Process Mining Workshops: ICPM 2021 International Workshops, Revised Selected Papers. Springer, Cham, Switzerland, pp. 85-97.

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Martin, Niels, Fischer, Dominik A., Kerpedzhiev, Georgi D., Goel, Kanika, Leemans, Sander J.J., Röglinger, Maximilian, van der Aalst, Wil M.P., Dumas, Marlon, La Rosa, Marcello, & Wynn, Moe T. (2021) Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Business and Information Systems Engineering, 63(5), pp. 511-527.

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Eden, Rebekah, Syed, Rehan, Leemans, Sander J.J., & Buijs, Joos C. A. M. (2021) A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use. In Polyvyanyy, Artem, Wynn, Moe Thandar, Van Looy, Amy, & Reichert, Manfred (Eds.) Business Process Management: 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings. Springer, Switzerland, pp. 363-379.

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Augusto, Adriano, Dumas, Marlon, La Rosa, Marcello, Leemans, Sander J.J., & vanden Broucke, Seppe K.L.M. (2021) Optimization framework for DFG-based automated process discovery approaches. Software and Systems Modeling, 20(4), pp. 1245-1270.

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Burke, Adam, Leemans, Sander J.J., & Wynn, Moe Thandar (2021) Discovering Stochastic Process Models by Reduction and Abstraction. In Buchs, Didier & Carmona, Josep (Eds.) Application and Theory of Petri Nets and Concurrency: 42nd International Conference, PETRI NETS 2021, Virtual Event, June 23–25, 2021, Proceedings. Springer, Switzerland, pp. 312-336.

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Goel, Kanika, Leemans, Sander, Wynn, Moe Thandar, ter Hofstede, Arthur, & Barnes, Janne (2021) Improving PhD Student Journeys with Process Mining: Insights from a Higher Education Institution. In de Leoni, Massimiliano, Song, Minseok, & Roeglinger, Maximilian (Eds.) Proceedings of the Industry Forum (BPM IF 2021) co-located with 19th International Conference on Business Process Management (BPM 2021). Sun SITE Central Europe (CEUR), Germany, pp. 39-49.

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Leemans, Sander & Leopold, Henrik (2021) Preface. In Leemans, Sander & Leopold, Henrik (Eds.) Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers. Springer, Cham, Switzerland, v.

Burke, Adam, Leemans, Sander, & Wynn, Moe Thandar (2021) Stochastic Process Discovery by Weight Estimation. In Leemans, Sander & Leopold, Henrik (Eds.) Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers. Springer, Switzerland, pp. 260-272.

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Leemans, Sander J.J., van der Aalst, Wil M.P., Brockhoff, Tobias, & Polyvyanyy, Artem (2021) Stochastic process mining: Earth movers’ stochastic conformance. Information Systems, 102, Article number: 101724.

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Polyvyanyy, Artem, Alkhammash, Hanan, Di Ciccio, Claudio, García-Bañuelos, Luciano, Kalenkova, Anna, Leemans, Sander J.J., Mendling, Jan, Moffat, Alistair, & Weidlich, Matthias (2020) Entropia: A family of entropy-based conformance checking measures for process mining. In Di Ciccio, Claudio, Depaire, Benoit, De Weerdt, Jochen, Di Francescomarino, Chiara, & Munoz-Gama, Jorge (Eds.) ICPM 2020 Doctoral Consortium and Tool Demonstration Track: Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020. Sun SITE Central Europe (CEUR), Germany, pp. 39-42.

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van Zelst, Sebastiaan & Leemans, Sander J.J. (2020) Translating workflow nets to process trees: An algorithmic approach. Algorithms, 13(11), Article number: 279 1-27.

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Leemans, Sander, Goel, Kanika, & van Zelst, Sebastiaan J. (2020) Using multi-level information in hierarchical process mining: Balancing behavioural quality and model complexity. In van Dongen, Boudewijn, Montali, Marco, & Wynn, Moe Thandar (Eds.) Proceedings of the 2020 2nd International Conference on Process Mining, ICPM 2020. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 137-144.

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Syed, Rehan, Leemans, Sander, Eden, Rebekah, & Buijs, Joos A.C.M. (2020) Process mining adoption: A technology continuity versus discontinuity perspective. In Fahland, Dirk, Ghidini, Chiara, Becker, Jörg, & Dumas, Marlon (Eds.) Business Process Management Forum: BPM Forum 2020 Proceedings. Springer, Cham, pp. 229-245.

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Burke, Adam, Leemans, Sander, & Wynn, Moe Thandar (2020) Report on stochastic process discovery by weight estimation experimental results. [Working Paper] (Unpublished)

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Syamsiyah, Alifah & Leemans, Sander (2020) Process discovery using in-database minimum self distance abstractions. In SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing. Association for Computing Machinery (ACM), United States of America, pp. 26-35.

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Leemans, Sander & Fahland, Dirk (2020) Information-preserving abstractions of event data in process mining. Knowledge and Information Systems, 62(3), pp. 1143-1197.

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Ostovar, Alireza, Leemans, Sander, & La Rosa, Marcello (2020) Robust drift characterization from event streams of business processes. ACM Transactions on Knowledge Discovery from Data, 14(3), Article number: 30.

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Syed, Rehan, Suriadi, Suriadi, Adams, Michael, Bandara, Wasana, Leemans, Sander J.J., Ouyang, Chun, ter Hofstede, Arthur H.M., van de Weerd, Inge, Wynn, Moe Thandar, & Reijers, Hajo A. (2020) Robotic Process Automation: Contemporary themes and challenges. Computers in Industry, 115, Article number: 103162.

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Leemans, Sander J. J. & Polyvyanyy, Artem (2020) Stochastic-Aware Conformance Checking: An Entropy-Based Approach. In Dustdar, Schahram, Yu, Eric, Salinesi, Camille, Rieu, Dominique, & Pant, Vik (Eds.) Advanced Information Systems Engineering: 32nd International Conference, CAiSE 2020, Proceedings. Springer, Switzerland, pp. 217-233.

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Egger, Andreas, ter Hofstede, Arthur, Kratsch, Wolfgang, Leemans, Sander J.J., Roglinger, Maximilian, & Wynn, Moe Thandar (2020) Bot log mining: Using logs from robotic process automation for process mining. In Dobbie, Gillian, Frank, Ulrich, Kappel, Gerti, Liddle, Stephen W., & Mayr, Heinrich C. (Eds.) Conceptual Modeling: 39th International Conference, ER 2020, Proceedings. Springer, Cham, Switzerland, pp. 51-61.

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Bandara, Wasana, Velmurugan, Mythreyi, & Leemans, Sander (2020) Building 'holistic' Business process modelling skills for IS graduates. In Proceedings of the 41st International Conference on Information Systems (ICIS 2020): Blending the Local and the Global. Association for Information Systems, United States of America.

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Leemans, Sander J.J., Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia, & Wynn, Moe T. (2020) Identifying cohorts that differ in their behaviour: Tool support. In Michael, Judith & Torres, Victoria (Eds.) ER Forum, Demo and Posters 2020. Sun SITE Central Europe (CEUR), Aachen, Germany, pp. 163-167.

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Leemans, Sander, Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia, & Wynn, Moe Thandar (2020) Identifying cohorts: Recommending drill-downs based on differences in behaviour for process mining. In Dobbie, Gillian, Frank, Ulrich, Kappel, Gerti, Liddle, Stephen W., & Mayr, Heinrich C. (Eds.) Conceptual Modeling: 39th International Conference, ER 2020 Proceedings. Springer, Switzerland, pp. 92-102.

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Shabaninejad, Shiva, Khosravi, Hassan, Leemans, Sander J.J., Sadiq, Shazia, & Indulska, Marta (2020) Recommending insightful drill-downs based on learning processes for learning analytics dashboards. In Bittencourt, Ig Ibert, Cukurova, Mutlu, Luckin, Rose, Muldner, Kasia, & Millán, Eva (Eds.) Artificial Intelligence in Education: 21st International Conference, AIED 2020 Proceedings, Part I. Springer, Cham, pp. 486-499.

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Leemans, Sander, Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia, & Wynn, Moe Thandar (2020) Results with identifying cohorts: Recommending drill-downs based on differences in behaviour for process mining. (Unpublished)

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Leemans, Sander J.J., Goel, Kanika, Wynn, Moe T., van Zelst, Sebastiaan, & Fahland, Dirk (2019) Quantitative experimental data of Multi-Level Process Mining: Balancing Behavioural Quality and Model Complexity. (Unpublished)

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Leemans, Sander J.J. & Artem, Polyvyanyy (2019) Proofs with Stochastic-Aware Conformance Checking: An Entropy-Based Approach. [Working Paper] (Unpublished)

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Leemans, Sander J.J. (2019) Appendices to reduction rules for block-structured workflow Nets. [Working Paper] (Unpublished)

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Leemans, Sander J.J. (2019) Automated process discovery. In Sakr, Sherif & Zomaya, Albert (Eds.) Encyclopedia of Big Data Technologies. Springer, Cham, Switzerland, pp. 121-130.

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Leemans, Sander, Poppe, Erik, & Wynn, Moe (2019) Directly follows-based process mining: A tool. In Burattin, A, van Zelst, S, & Polyvyanyy, A (Eds.) Proceedings of the ICPM Demo Track 2019 (CEUR Workshop Proceedings, Volume 2374). Vol. 2374. Sun SITE Central Europe, http://www.ceur-ws.org/, pp. 9-12.

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Leemans, Sander, Poppe, Erik, & Wynn, Moe (2019) Directly follows-based process mining: Exploration and a case study. In Jans, M, Carmona, J, & La Rosa, M (Eds.) Proceedings of the 2019 International Conference on Process Mining, ICPM 2019. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 25-32.

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Leemans, Sander J.J., Syring, Anja F., & van der Aalst, Wil M.P. (2019) Earth movers' stochastic conformance checking. In Hildebrandt, Thomas, van Dongen, Boudewijn F., Roglinger, Maximilian, & Mendling, Jan (Eds.) Business Process Management Forum: BPM Forum 2019 Proceedings. Springer, Switzerland, pp. 127-143.

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Leemans, Sander J.J. (2018) Robust process mining with guarantees. In van der Aalst, Wil, Casati, Fabio, Conforti, Raffaele, de Leoni, Massimiliano, Dumas, Marlon, Kumar, Akhil, et al. (Eds.) Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018. Sun SITE Central Europe, Germany, pp. 46-50.

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Leemans, Sander, Tax, Niek, & ter Hofstede, Arthur (2018) Indulpet miner: Combining discovery algorithms. In Roman, D, Panetto, H, Debruyne, C, Meersman, R, & Proper HA Agostino Ardagna, C (Eds.) On the Move to Meaningful Internet Systems: OTM 2018 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2018, Proceedings, Part I (Lecture Notes in Computer Science, Volume 11229). Springer, Switzerland, pp. 97-115.

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Suriadi, Suriadi, Leemans, Sander, Carrasco, Cristian, Keeney, Luke, Walters, Patrick, Burrage, Kevin, ter Hofstede, Arthur, & Wynn, Moe (2018) Isolating the impact of rock properties and operational settings on minerals processing performance: A data-driven approach. Minerals Engineering, 122, pp. 53-66.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2018) Scalable process discovery and conformance checking. Software and Systems Modeling, 17(2), pp. 599-631.

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Senderovich, Arik, Leemans, Sander, Harel, Shahar, Gal, Avigdor, Mandelbaum, Avishai, & van der Aalst, Wil (2016) Discovering queues from event logs with varying levels of information. In Reijers, H A & Reichert, M (Eds.) Business Process Management Workshops: BPM 2015, 13th International Workshops, Revised Papers (Lecture Notes in Business Information Processing, Volume 256). Springer, Switzerland, pp. 154-166.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2016) Using life cycle information in process discovery. In Reijers, H A & Reichert, M (Eds.) Business Process Management Workshops: BPM 2015, 13th International Workshops, Revised Papers (Lecture Notes in Business Information Processing, Volume 256). Springer, Switzerland, pp. 204-217.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2015) Exploring processes and deviations. In Fournier, F & Mendling, J (Eds.) Business Process Management Workshops: BPM 2014 International Workshops, Revised Papers [Lecture Notes in Business Information Processing, Volume 202]. Springer, Switzerland, pp. 304-316.

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van Eck, Maikel, Lu, Xixi, Leemans, Sander, & van der Aalst, Wil (2015) PM2: A process mining project methodology. In Kirikova, M, Zdravkovic, J, & Johannesson, P (Eds.) Advanced Information Systems Engineering: 27th International Conference, CAiSE 2015, Proceedings [Lecture Notes in Computer Science, Volume 9097]. Springer, Switzerland, pp. 297-313.

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Leemans, Sander (2015) Process discovery and exploration. In Fournier, F & Mendling, J (Eds.) Business Process Management Workshops: BPM 2014 International Workshops, Revised Papers [Lecture Notes in Business Information Processing, Volume 202]. Springer, Switzerland, pp. 582-585.

Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2015) Scalable process discovery with guarantees. In Ma, Q, Nurcan, S, Gaaloul, K, Schmidt, R, & Guerreiro, S (Eds.) Enterprise, Business-Process and Information Systems Modeling: 16th International Conference, BPMDS 2015, 20th International Conference, EMMSAD 2015, Proceedings (Lecture Notes in Business Information Processing, Volume 214). Springer, Switzerland, pp. 85-101.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2014) Discovering block-structured process models from event logs containing infrequent behaviour. In Song, M, Wohed, P, & Lohmann, N (Eds.) Business Process Management Workshops: BPM 2013 International Workshops, Revised Papers [Lecture Notes in Business Information Processing, Volume 171]. Springer, Switzerland, pp. 66-78.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2014) Discovering block-structured process models from incomplete event logs. In Ciardo, G & Kindler, E (Eds.) Application and Theory of Petri Nets and Concurrency: 35th International Conference, PETRI NETS 2014, Proceedings [Lecture Notes in Computer Science, Volume 8489]. Springer, Switzerland, pp. 91-110.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2014) Process and deviation exploration with inductive visual miner. In Weber, B & Limonad, L (Eds.) BPM Demo Sessions 2014: Proceedings of the BPM Demo Sessions 2014 [CEUR Workshop Proceedings, Volume 1295]. Sun SITE Central Europe, http://www.ceur-ws.org/, pp. 46-50.

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Leemans, Sander, Fahland, Dirk, & van der Aalst, Wil (2013) Discovering block-structured process models from event logs - A constructive approach. In Colom, J M & Desel, J (Eds.) Application and Theory of Petri Nets and Concurrency: 34th International Conference, PETRI NETS 2013, Proceedings (Lecture Notes in Computer Science, Volume 7927). Springer, Germany, pp. 311-329.

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Hwong, Yi Ling, Keiren, Jeroen, Kusters, Vincent, Leemans, Sander, & Willemse, Tim (2013) Formalising and analysing the control software of the Compact Muon Solenoid Experiment at the Large Hadron Collider. Science of Computer Programming, 78(12), pp. 2435-2452.

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