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 …

A native operator for process discovery

Syamsiyah, Alifah, van Dongen, Boudewijn F. & Dijkman, Remco M. (2018). A native operator for process discovery. In Hui Ma, Günther Pernul, Abdelkader Hameurlain, Sven Hartmann & Roland R. Wagner (Eds.), Database and Expert Systems Applications – 29th International Conference, DEXA 2018, Proceedings (pp. 292-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Read More …

Component interface identification and behavioral model discovery from software execution data

Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). Component interface identification and behavioral model discovery from software execution data. Proceedings – 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018 (pp. 97-107). New York: Association for Computing Machinery, Inc Abstract Restructuring an object-oriented software system into a component-based Read More …

A framework to support behavioral design pattern detection from software execution data

Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). A framework to support behavioral design pattern detection from software execution data. ENASE 2018 – Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 65-76). SCITEPRESS-Science and Technology Publications, Lda.. Abstract The detection of design Read More …

Recursion aware modeling and discovery for hierarchical software event log analysis

Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). Recursion aware modeling and discovery for hierarchical software event log analysis. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 – Proceedings (pp. 185-196). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). Abstract This paper presents 1) a Read More …

The Statechart Workbench : Enabling scalable software event log analysis using process mining

Leemans, Maikel, van der Aalst, Wil M.P. & van den Brand, Mark G.J. (2018). The Statechart Workbench : Enabling scalable software event log analysis using process mining. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 – Proceedings (pp. 502-506). Institute of Electrical and Electronics Engineers (IEEE). Abstract To understand and maintain Read More …

Repairing outlier behaviour in event logs

Fani Sani, Mohammadreza, van Zelst, Sebastiaan J. & van der Aalst, Wil M.P. (2018). Repairing outlier behaviour in event logs. In W. Abramowicz & A. Paschke (Eds.), Business Information Systems – 21st International Conference, BIS 2018, Proceedings (pp. 115-131). (Lecture Notes in Business Information Processing, No. 320). Cham: Springer. Abstract One of the main challenges Read More …

ProDiGy : Human-in-the-loop process discovery

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 …

Fast incremental conformance analysis for interactive process discovery

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 …

Unbiased, fine-grained description of processes performance from event data

Denisov, V.V., Fahland, D. & van der Aalst, W.M.P. (2018). Unbiased, fine-grained description of processes performance from event data. Business Process Management – 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings. (pp. 139-157). (Lecture Notes in Computer Science, No. 11080). Springer. Abstract Performance is central to processes management and event data Read More …

Similarity resonance for improving process model matching accuracy

Assy, Nour, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Similarity resonance for improving process model matching accuracy. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (pp. 86-93). New York: Association for Computing Machinery, Inc. Abstract Comparing and matching process models is a common task in many process Read More …

Filtering spurious events from event streams of business processes

van Zelst, Sebastiaan J., Fani Sani, Mohammadreza, Ostovar, Alireza, Conforti, Raffaele & La Rosa, Marcello (2018). Filtering spurious events from event streams of business processes. Advanced Information Systems Engineering – 30th International Conference, CAiSE 2018, Proceedings (pp. 35-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Read More …

Local process model discovery : bringing petri nets to the pattern mining world

Tax, Niek, Sidorova, Natalia, van der Aalst, Wil M.P. & Haakma, Reinder (2018). Local process model discovery : bringing petri nets to the pattern mining world. In V. Khohamenko & O.H. Roux (Eds.), Application and Theory of Petri Nets and Concurrency (pp. 374-384). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence Read More …

An experimental evaluation of the generalizing capabilities of process discovery techniques and black-box sequence models

Tax, N., van Zelst, S.J. & Teinemaa, I. (2018). An experimental evaluation of the generalizing capabilities of process discovery techniques and black-box sequence models. In Palash Bera, Jens Gulden, Iris Reinhartz-Berger, Wided Guédria, Sérgio Guerreiro & Rainer Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 165-180). (Lecture Notes in Business Information Processing). Dordrecht: Springer Read More …

DB-XES : Enabling process discovery in the large

Syamsiyah, Alifah, Van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). DB-XES : Enabling process discovery in the large. Data-Driven Process Discovery and Analysis – 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers (pp. 53-77). (Lecture Notes in Business Information Processing, No. 307). BHRA / Springer Verlag. Abstract Dealing with Read More …

Recurrent process mining with live event data

Syamsiyah, Alifah, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Recurrent process mining with live event data. Business Process Management Workshops – BPM 2017 International Workshops, Revised Papers (pp. 178-190). (Lecture Notes in Business Information Processing, No. 308). BHRA / Springer Verlag. Abstract In organizations, process mining activities are typically performed in Read More …

Optimal algorithms for compact linear layouts

Sonke, Willem, Verbeek, Kevin, Meulemans, Wouter, Verbeek, Eric & Speckmann, Bettina (2018). Optimal algorithms for compact linear layouts. Proceedings – 2018 IEEE Pacific Visualization Symposium, PacificVis 2018 (pp. 1-10). Brussels: IEEE Computer Society. Abstract Linear layouts are a simple and natural way to draw a graph: all vertices are placed on a single line and Read More …

A visualization of human physical risks in manufacturing processes using BPMN

Polderdijk, Melanie, Vanderfeesten, Irene, Erasmus, Jonnro, Traganos, Kostas, Bosch, Tim, van Rhijn, Gu & Fahland, Dirk (2018). A visualization of human physical risks in manufacturing processes using BPMN. Business Process Management Workshops – BPM 2017 International Workshops, Revised Papers (pp. 732-743). (Lecture Notes in Business Information Processing, No. 308). Springer. Abstract Process models are schematic Read More …

Optimal algorithms for compact linear layouts

Meulemans, W., Sonke, W.M., Speckmann, B., Verbeek, H.M.W. & Verbeek, K.A.B. (2018). Optimal algorithms for compact linear layouts. Abstracts of the 34th European Workshop on Computational Geometry (EuroCG), 21-23 March 2018, Berlin, Germany (pp. 10:1-10:6). Abstract Linear layouts are a simple and natural way to draw a graph: all vertices are placed on a single Read More …

A general framework to detect behavioral design patterns

Liu, Cong, Van Dongen, Boudewijn, Assy, Nour & Van Der Aalst, Wil M.P. (2018). A general framework to detect behavioral design patterns. Proceedings – International Conference on Software Engineering (pp. 234-235). IEEE Computer Society. Abstract This paper presents a general framework to detect behavioral design patterns by combining source code and execution data. The framework Read More …

Extracting object-centric event logs to support process mining on databases

Li, Guangming, de Murillas, Eduardo González López, de Carvalho, Renata Medeiros & van der Aalst, Wil M.P. (2018). Extracting object-centric event logs to support process mining on databases. In H. Mouratidis & J. Mendling (Eds.), Information Systems in the Big Data Era – CAiSE Forum 2018, Proceedings (pp. 182-199). (Lecture Notes in Business Information Processing, Read More …

Hierarchical performance analysis for process mining

Leemans, Maikel, Van Der Aalst, Wil M.P. & Van Den Brand, Mark G.J. (2018). Hierarchical performance analysis for process mining. Proceedings of the 2018 International Conference on Software and System Process, ICSSP 2018 (pp. 96-105). Association for Computing Machinery, Inc. Abstract Process mining techniques use event data from operational and software processes to discover process Read More …

Automatic root cause identification using most probable alignments

Koorneef, M., Solti, A., Leopold, H. & Reijers, H.A. (2018). Automatic root cause identification using most probable alignments. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops – BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers (pp. 204-215). (Lecture Notes in Business Information Processing, No. 308). Springer. Abstract In many Read More …

E-government services : comparing real and expected user behavior

Kalenkova, A. A., Ageev, A. A., Lomazova, I A. & van der Aalst, W. M.P. (2018). E-government services : comparing real and expected user behavior. In M. Weidlich & E. Teriente (Eds.), Business Process Management Workshops (pp. 484-496). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands. Abstract E-government web services are becoming Read More …

Redo log process mining in real life : data challenges & opportunities

González López de Murillas, E., Hoogendoorn, G.E. & Reijers, H.A. (2018). Redo log process mining in real life : data challenges & opportunities. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 573-587). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands. Abstract Data extraction and preparation are the most Read More …

Visual analytics for soundness verification of process models

Garcia Caballero, Humberto S., Westenberg, Michel A., Verbeek, H.M.W. & van der Aalst, Wil M.P. (2018). Visual analytics for soundness verification of process models. In M. Weidlich & E. Teniente (Eds.), Business Process Management Workshops (pp. 744-756). (Lecture Notes in Business Information Processing, No. 308). Dordrecht: Springer Netherlands. Abstract Soundness validation of process models is Read More …

Improving process discovery results by filtering outliers using conditional behavioural probabilities

Sani, Mohammadreza Fani, van Zelst, Sebastiaan J. & van der Aalst, Wil M.P. (2018). Improving process discovery results by filtering outliers using conditional behavioural probabilities. Business Process Management Workshops – BPM 2017 International Workshops, Revised Papers (pp. 216-229). (Lecture Notes in Business Information Processing, No. 308). Berlin: Springer. Abstract Process discovery, one of the key Read More …