Publications 2014

  • [DOI] W. M. P. van der Aalst and H. M. W. Verbeek, “Process discovery and conformance checking using passages,” Fundamenta informaticae, vol. 131, iss. 1, pp. 103-138, 2014.
    [Bibtex]
    @Article{Aalst14,
    Title = {Process Discovery and Conformance Checking Using Passages},
    Author = {Aalst, W. M. P. van der and Verbeek, H. M. W.},
    Journal = {Fundamenta Informaticae},
    Year = {2014},
    Month = {March},
    Number = {1},
    Pages = {103--138},
    Volume = {131},
    Abstract = {The two most prominent process mining tasks are process discovery (i.e., learning a process model from an event log) and conformance checking (i.e., diagnosing and quantifying differences between observed and modeled behavior). The increasing availability of event data makes these tasks highly relevant for process analysis and improvement. Therefore, process mining is considered to be one of the key technologies for Business Process Management (BPM). However, as event logs and process models grow, process mining becomes more challenging. Therefore, we propose an approach to
    decompose process mining problems into smaller problems using the notion of passages. A passage is a pair of two non-empty sets of activities (X;Y) such that the set of direct successors of X is Y and the set of direct predecessors of Y is X. Any Petri net can be partitioned using passages. Moreover, process discovery and conformance checking can be done per passage and the results can be aggregated. This has advantages in terms of efficiency and diagnostics. Moreover, passages can be used to distribute process mining problems over a network of computers. Passages are supported through
    ProM plug-ins that automatically decompose process discovery and conformance checking tasks},
    Doi = {10.3233/FI-2014-1006},
    Owner = {hverbeek},
    Timestamp = {2012.12.10}
    }
  • C. W. G├╝nther and H. M. W. Verbeek, “Xes standard definition,” , BPM-14-09, 2014.
    [Bibtex]
    @TechReport{Guenther14,
    Title = {XES ľ Standard Definition},
    Author = {G\"{u}nther, C. W. and Verbeek, H. M. W.},
    Year = {2014},
    Number = {BPM-14-09},
    Url = {http://bpmcenter.org/wp-content/uploads/reports/2014/BPM-14-09.pdf}
    }
  • B. F. A. Hompes, H. M. W. Verbeek, and W. M. P. van der Aalst, “Finding suitable activity clusters for decomposed process discovery,” in Simpda 2014, 2014, pp. 16-30.
    [Bibtex]
    @InProceedings{Hompes14,
    Title = {Finding Suitable Activity Clusters for Decomposed Process Discovery},
    Author = {Hompes, B. F. A. and Verbeek, H. M. W and Aalst, W. M. P. van der},
    Booktitle = {SIMPDA 2014},
    Year = {2014},
    Pages = {16--30},
    Publisher = {CEUR-WS.org},
    Volume = {1293},
    Url = {http://ceur-ws.org/Vol-1293/paper2.pdf}
    }
  • R. S. Mans, W. M. P. van der Aalst, and H. M. W. Verbeek, “Defining and executing process mining workflows with rapidprom,” in Rapidminer world 2014 conference, , 2014.
    [Bibtex]
    @InCollection{Mans14,
    Title = {Defining and Executing Process Mining Workflows with RapidProM},
    Author = {Mans, R. S. and Aalst, W. M. P. van der and Verbeek, H. M. W},
    Booktitle = {RapidMiner World 2014 Conference},
    Year = {2014},
    Url = {http://www.win.tue.nl/~hverbeek/downloads/preprints/Mans14.pdf}
    }
  • R. S. Mans, W. M. P. van der Aalst, and H. M. W. Verbeek, “Supporting process mining workflows with rapidprom,” in Bpm 2014 demos, CEUR-WS.org, 2014, vol. 1295, pp. 56-60.
    [Bibtex]
    @InCollection{Mans14a,
    Title = {Supporting Process Mining Workflows with RapidProM},
    Author = {Mans, R. S. and Aalst, W. M. P. van der and Verbeek, H. M. W},
    Booktitle = {BPM 2014 Demos},
    Publisher = {CEUR-WS.org},
    Year = {2014},
    Pages = {56--60},
    Volume = {1295},
    Url = {http://ceur-ws.org/Vol-1295/paper5.pdf}
    }
  • D. M. M. Schunselaar, H. M. W. Verbeek, W. M. P. van der Aalst, and H. A. Reijers, “Petra: process model based extensible toolset for redesign and analys,” BPMcenter.org, BPM Center report BPM-14-01, 2014.
    [Bibtex]
    @TechReport{Schunselaar14,
    Title = {Petra: Process model based Extensible Toolset for Redesign and Analys},
    Author = {Schunselaar, D. M. M. and Verbeek, H. M. W and Aalst, W. M. P. van der and Reijers, H. A.},
    Institution = {BPMcenter.org},
    Year = {2014},
    Number = {BPM-14-01},
    Type = {BPM Center report},
    Abstract = {In different settings, it is of great value to be able to compare the performance of processes that aim to fulfill the same purpose but do so in different ways. Petra is a toolset for the analysis of so-called process families, which support the use of a multitude of analysis tools, including simulation. Through the use of Petra, organisations can make an educated decision about the exact configuration of their processes as to satisfy their exact requirements and performance objectives. The CoSeLoG project, in which we work together with 10 municipalities, provides exactly the setting for this type of functionality to come into play.},
    Owner = {hverbeek},
    Timestamp = {2013.05.07},
    Url = {http://bpmcenter.org/wp-content/uploads/reports/2014/BPM-14-01.pdf}
    }
  • D. M. M. Schunselaar, H. M. W. Verbeek, W. M. P. van der Aalst, and H. A. Reijers, “Petra : process model based extensible toolset for redesign and analysis,” in Petri nets and software engineering 2014 (international workshop, pnse 2014, 2014, pp. 269-288.
    [Bibtex]
    @InProceedings{Schunselaar14c,
    Title = {Petra : Process model based extensible toolset for redesign and analysis},
    Author = {Schunselaar, D. M. M. and Verbeek, H. M. W and Aalst, W. M. P. van der and Reijers, H. A.},
    Booktitle = {Petri Nets and Software Engineering 2014 (International Workshop, PNSE 2014},
    Year = {2014},
    Pages = {269--288},
    Publisher = {CEUR-WS.org},
    Volume = {1160},
    Url = {http://ceur-ws.org/Vol-1160/paper16.pdf}
    }
  • D. M. M. Schunselaar, H. M. W. Verbeek, H. A. Reijers, and W. M. P. van der Aalst, “Using monotonicity to find optimal process configurations faster,” in Simpda 2014, 2014, pp. 123-137.
    [Bibtex]
    @InProceedings{Schunselaar14d,
    Title = {Using Monotonicity to find Optimal Process Configurations Faster},
    Author = {Schunselaar, D. M. M. and Verbeek, H. M. W and Reijers, H. A. and Aalst, W. M. P. van der},
    Booktitle = {SIMPDA 2014},
    Year = {2014},
    Pages = {123--137},
    Publisher = {CEUR-WS.org},
    Volume = {1293},
    Url = {http://ceur-ws.org/Vol-1293/paper9.pdf}
    }
  • H. M. W. Verbeek, “Decomposed process mining with divideandconquer,” in Bpm 2014 demos, CEUR-WS.org, 2014, vol. 1295, pp. 86-90.
    [Bibtex]
    @InCollection{Verbeek14a,
    Title = {Decomposed Process Mining with DivideAndConquer},
    Author = {Verbeek, H. M. W},
    Booktitle = {BPM 2014 Demos},
    Publisher = {CEUR-WS.org},
    Year = {2014},
    Pages = {86--90},
    Volume = {1295},
    Url = {http://ceur-ws.org/Vol-1295/paper11.pdf}
    }
  • S. J. van Zelst, A. Burattin, B. F. van Dongen, and H. M. W. Verbeek, “Data streams in prom 6: a single-node architecture,” in Bpm 2104 demos, CEUR-WS.org, 2014, vol. 1295, pp. 81-85.
    [Bibtex]
    @InCollection{Zelst14,
    Title = {Data Streams in ProM 6: A Single-node Architecture},
    Author = {Zelst, S. J. van and Burattin, A. and Dongen, B. F. van and Verbeek, H. M. W},
    Booktitle = {BPM 2104 Demos},
    Publisher = {CEUR-WS.org},
    Year = {2014},
    Pages = {81--85},
    Volume = {1295},
    Url = {http://ceur-ws.org/Vol-1295/paper6.pdf}
    }

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