New PhD Student: Ava Swevels
On January 1st, Ava Swevels started working as PhD student in the PA group. Ava will work under the supervision of Dirk Fahland on the AUTO-TWIN project. A big welcome to Ava!
Archives
Ava Swevels
Position: PhD Student Room: MF 7.070 Tel (internal): Links: CoursesPresentationsProjectsPublications External links: Scopus pageORCID pageDBLP pageTU/e page Recent courses Recent presentations Recent projects Recent publications
AutoTwin
Description The AutoTwin project addresses the technological shortcoming and economic liability of the development and usage of digital twins that are accepted as the accelerator and enabler of Circular Economy in businesses and production by conduction research in 3 areas: introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support Read More …
Smart Journey Mining: Towards successful digitalisation of services
The digitalisation of our society’s service systems has fundamentally changed the way services are delivered to, and experienced by, humans. Although digital services are supposed to simplify our lives and increase our efficiency, they often frustrate and burden customers, users, and employees. The overall goal is to increase the quality of services and support the Read More …
New PhD student: Dominique Sommers
On January 15th, Dominique Sommers started working as PhD student in the PA group. Dominique will work under the supervision of Boudewijn van Dongen. A big welcome to Dominique!
Azadeh Mozafari Mehr
Position: PhD Student Room: MF 7.117 Tel (internal): 6320 Links: Courses Presentations Projects Publications External links: Scopus page ORCID page DBLP page TU/e page Recent courses Recent presentations Recent projects Recent publications
Hierarchical process mining for scalable software analysis
Leemans, M. (2018). Hierarchical process mining for scalable software analysis. Eindhoven: Technische Universiteit Eindhoven. ((Co-)promot.: Wil van der Aalst & Mark van den Brand).
Alarm-based prescriptive process monitoring
Teinemaa, Irene, Tax, Niek, de Leoni, Massimiliano, Dumas, Marlon & Maggi, Fabrizio Maria (2018). Alarm-based prescriptive process monitoring. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management Forum – BPM Forum 2018, Proceedings (pp. 91-107). (Lecture Notes in Business Information Processing, No. 329). Springer. Abstract Predictive process monitoring is Read More …
Configurable event correlation for process discovery from object-centric event data
Li, Guangming, Medeiros De Carvalho, Renata & van der Aalst, Wil M.P. (2018). Configurable event correlation for process discovery from object-centric event data. Proceedings – 2018 IEEE International Conference on Web Services, ICWS 2018 – Part of the 2018 IEEE World Congress on Services (pp. 203-210). Institute of Electrical and Electronics Engineers (IEEE). Abstract Many Read More …
Indulpet miner : combining discovery algorithms
Leemans, Sander J.J., Tax, Niek & ter Hofstede, Arthur H.M. (2018). Indulpet miner : combining discovery algorithms. In Dumitru Roman, Henderik A. Proper, Robert Meersman, Hervé Panetto, Christophe Debruyne & Claudio Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems. OTM 2018 Conferences – Confederated International Conferences (pp. 97-115). (Lecture Notes in Computer Science Read More …
Software process analysis methodology-a methodology based on lessons learned in embracing legacy software
Leemans, Maikel, van der Aalst, Wil M.P., van den Brand, Mark G.J., Schiffelers, Ramon R.H. & Lensink, Leonard (2018). Software process analysis methodology-a methodology based on lessons learned in embracing legacy software. Proceedings – 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018 (pp. 665-674). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). Read More …
Lifecycle-Based Process Performance Analysis
Hompes, Bart F.A. & van der Aalst, Wil M.P. (2018). Lifecycle-Based Process Performance Analysis. In Dumitru Roman, Henderik A. Proper, Robert Meersman, Hervé Panetto, Christophe Debruyne & Claudio Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems. OTM 2018 Conferences – Confederated International Conferences (pp. 336-353). (Lecture Notes in Computer Science (including subseries Lecture Read More …
Analyzing customer journey with process mining : from discovery to recommendations
Terragni, Alessandro & Hassani, Marwan (2018). Analyzing customer journey with process mining : from discovery to recommendations. In Muhammad Younas & Jules Pagna Disso (Eds.), Proceedings – 2018 IEEE 6th International Conference on Future Internet of Things and Cloud, FiCloud 2018 (pp. 224-229). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). Abstract Customer journey analysis Read More …
Efficiently computing alignments : using the extended marking equation
Dongen, Boudewijn F. van (2018). Efficiently computing alignments : using the extended marking equation. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management – 16th International Conference, BPM 2018, Proceedings (pp. 197-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Read More …
Fast conformance analysis based on activity log abstraction
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 …
Incremental computation of synthesis rules for free-choice Petri nets
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 …
Interactive data-driven process model construction
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 …
The performance spectrum miner : visual analytics for fine-grained performance analysis of processes
Denisov, Vadim, Belkina, Elena, Fahland, Dirk & van der Aalst, Wil M.P. (2018). The performance spectrum miner : visual analytics for fine-grained performance analysis of processes. CEUR Workshop Proceedings, 2196, 96-100. Abstract We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses Read More …
Aligning partially-ordered process-execution traces and models using automated planning
de Leoni, Massimiliano, Lanciano, Giacomo & Marrella, Andrea (2018). Aligning partially-ordered process-execution traces and models using automated planning. 28th International Conference on Automated Planning and Scheduling, ICAPS 2018 (pp. 321-329). (Proceedings International Conference on Automated Planning and Scheduling, ICAPS). Abstract Conformance checking is the problem of verifying if the actual executions of business processes, which Read More …
A holistic approach for soundness verification of decision-aware process models
de Leoni, Massimiliano, Felli, Paolo & Montali, Marco (2018). A holistic approach for soundness verification of decision-aware process models. 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. 219-235). (Lecture Notes in Computer Read More …
Towards effective generation of synthetic memory references via markovian models
Cuzzocrea, Alfredo, Mumolo, Enzo, Hassani, Marwan & Grasso, Giorgio Mario (2018). Towards effective generation of synthetic memory references via markovian models. In Ling Liu, Claudio Demartini, Ji-Jiang Yang, Thomas Conte, Kamrul Hasan, Edmundo Tovar, Zhiyong Zhang, Sheikh Iqbal Ahamed, Stelvio Cimato, Toyokazu Akiyama, Sorel Reisman, William Claycomb, Motonori Nakamura, Hiroki Takakura & Chung-Horng Lung (Eds.), Read More …
A Markov-Model-based framework for supporting real-time generation of synthetic memory references effectively and efficiently
Cuzzocrea, Alfredo, Mumolo, Enzo, Hassani, Marwan & Grasso, Giorgio Mario (2018). A Markov-Model-based framework for supporting real-time generation of synthetic memory references effectively and efficiently. Proceedings – DMSVIVA 2018 (pp. 83-90). Pittsburgh: Knowledge Systems Institute Graduate School. Abstract Driven by several real-life case studies and in-lab developments, synthetic memory reference generation has a long tradition Read More …
Online conformance checking using behavioural patterns
Burattin, Andrea, van Zelst, Sebastiaan J., Armas-Cervantes, Abel, van Dongen, Boudewijn F. & Carmona, Josep (2018). Online conformance checking using behavioural patterns. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management – 16th International Conference, BPM 2018, Proceedings (pp. 250-267). (Lecture Notes in Computer Science (including subseries Lecture Notes Read More …
Who is behind the model? classifying modelers based on pragmatic model features
Burattin, Andrea, Soffer, Pnina, Fahland, Dirk, Mendling, Jan, Reijers, Hajo A., Vanderfeesten, Irene, Weidlich, Matthias & Weber, Barbara (2018). Who is behind the model? classifying modelers based on pragmatic model features. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management – 16th International Conference, BPM 2018, Proceedings (pp. 322-338). Read More …
Maximizing synchronization for aligning observed and modelled behaviour
Bloemen, Vincent, van Zelst, Sebastiaan J., van der Aalst, Wil M.P., van Dongen, Boudewijn F. & van de Pol, Jaco (2018). Maximizing synchronization for aligning observed and modelled behaviour. In Ingo Weber, Jan vom Brocke, Marco Montali & Mathias Weske (Eds.), Business Process Management – 16th International Conference, BPM 2018, Proceedings (pp. 233-249). (Lecture Notes Read More …
Optimal deployment of configurable business processes in cloud federations
Rekik, Molka, Boukadi, Khouloud, Assy, Nour, Gaaloul, Walid & Ben-Abdallah, Hanene (2018). Optimal deployment of configurable business processes in cloud federations. IEEE Transactions on Network and Service Management, Abstract Configurable processes are increasingly being adopted by enterprises that seek experience sharing and best practice adoption. A configurable process is a customizable model that specifies how Read More …
Discovering high-level BPMN process models from event data
Kalenkova, Anna, Burattin, Andrea, de Leoni, Massimiliano, van der Aalst, Wil & Sperduti, Alessandro (2019). Discovering high-level BPMN process models from event data. Business Process Management Journal, 25(5), 995-1019. DOI: 10.1108/BPMJ-02-2018-0051 Abstract Purpose: The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using Read More …
Analysing structured learning behaviour in Massive Open Online Courses (MOOCs) : An approach based on process mining and clustering
Beemt, A.A.J. van den, Buijs, J.C.A.M. & Aalst, W.M.P. van der (2018). Analysing structured learning behaviour in Massive Open Online Courses (MOOCs) : An approach based on process mining and clustering. International Review of Research in Open and Distance Learning, 19(5), 38-60. Abstract The increasing use of digital systems to support learning leads to a Read More …