Hompes, B., Dixit, P., & Buijs, J. (2019). Using process analytics to improve healthcare processes. In S. Consoli, D. Reforgiato Recupero, & M. Petković (Eds.), Data Science for Healthcare: Methodologies and Applications (pp. 305-325). Cham: Springer. https://doi.org/10.1007/978-3-030-05249-2_12 Abstract Healthcare processes are inherently complex as each patient is unique and medical staff deviate from protocols, often Read More …
Position: PhD Student Room: MF 7.108 Tel (internal): – Links: Google scholar page Scopus page TU/e employee page Projects Publications Presentations
Dixit, P. A. M. (2019). Interactive process mining Eindhoven: Technische Universiteit Eindhoven
Dixit, P.M. & van der Aalst, W.M.P. (2018). Fast conformance analysis based on activity log abstraction. 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, Proceedings (pp. 135-144). Piscataway. Abstract Process mining techniques focus on bridging the gap between activity logs and business process management. Process discovery is a sub-field of process mining which uses Read More …
Dixit, Prabhakar M., Verbeek, H.M.W. & van der Aalst, Wil M.P. (2018). Incremental computation of synthesis rules for free-choice Petri nets. In Peter Csaba Ölveczky & Kyungmin Bae (Eds.), Formal Aspects of Component Software – 15th International Conference, FACS 2018, Proceedings (pp. 97-117). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence Read More …
Dixit, P. M., Verbeek, H.M.W., Buijs, J. C.A.M. & van der Aalst, W. M.P. (2018). Interactive data-driven process model construction. In Xiaoyong Du, Guoliang Li, Zhanhuai Li, Juan C. Trujillo, Tok Wang Ling, Karen C. Davis & Mong Li Lee (Eds.), Conceptual Modeling – 37th International Conference, ER 2018, Proceedings (pp. 251-265). (Lecture Notes in Read More …
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Dixit, P.M., Buijs, J.C.A.M. & van der Aalst, W.M.P. (2018). ProDiGy : Human-in-the-loop process discovery. 2018 12th International Conference on Research Challenges in Information Science, RCIS 2018 (pp. 1-12). Piscataway: IEEE Computer Society. Abstract Process mining is a discipline that combines the two worlds of business process management and data mining. The central component of Read More …
Dixit, P.M., Buijs, J.C.A.M., Verbeek, H.M.W., & van der Aalst, W.M.P. (2018). Fast incremental conformance analysis for interactive process discovery. In W. Abramowicz & A. Paschke (Eds.), Business Information Systems – 21st International Conference, BIS 2018, Proceedings (pp. 163-175). (Lecture Notes in Business Information Processing, No. 320). Springer. Abstract Interactive process discovery allows users to Read More …
Dixit, Prabhakar M., Suriadi, Suriadi, Andrews, Robert, Wynn, Moe T., ter Hofstede, Arthur H.M., Buijs, Joos C.A.M. & van der Aalst, Wil M.P. (2018). Detection and interactive repair of event ordering imperfection in process logs. Advanced Information Systems Engineering – 30th International Conference, CAiSE 2018, Proceedings (pp. 274-290). (Lecture Notes in Computer Science (including subseries Read More …
Description The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). The DSC/e has recently started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, health and lighting. As a first concrete action, 70 PhD Read More …
Article Scientific peer reviewed Arriagada-Benítez, M., Sepúlveda, M., Munoz-Gama, J. & Buijs, J.C.A.M. (2017). Strategies to automatically derive a process model from a configurable process model based on event data. Applied Sciences, 7(10):1023. Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2017). Process variant comparison: using event logs to detect differences in behavior Read More …
