Interactive data-driven process model construction

P. M. Dixit, H. M.W. Verbeek, J. C.A.M. Buijs, W. M.P. van der Aalst

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)


Process discovery algorithms address the problem of learning process models from event logs. Typically, in such settings a user’s activity is limited to configuring the parameters of the discovery algorithm, and hence the user expertise/domain knowledge can not be incorporated during traditional process discovery. In a setting where the event logs are noisy, incomplete and/or contain uninteresting activities, the process models discovered by discovery algorithms are often inaccurate and/or incomprehensible. Furthermore, many of these automated techniques can produce unsound models and/or cannot discover duplicate activities, silent activities etc. To overcome such shortcomings, we introduce a new concept to interactively discover a process model, by combining a user’s domain knowledge with the information from the event log. The discovered models are always sound and can have duplicate activities, silent activities etc. An objective evaluation and a case study shows that the proposed approach can outperform traditional discovery techniques.

Original languageEnglish
Title of host publicationConceptual Modeling - 37th International Conference, ER 2018, Proceedings
EditorsZhanhuai Li, Juan C. Trujillo, Xiaoyong Du, Mong Li Lee, Karen C. Davis, Tok Wang Ling, Guoliang Li
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-030-00847-5
ISBN (Print)978-3-030-00846-8
Publication statusPublished - 1 Jan 2018
Event37th International Conference on Conceptual Modeling, ER 2018 - Xi'an, China
Duration: 22 Oct 201825 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11157 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference37th International Conference on Conceptual Modeling, ER 2018


  • HCI
  • Process discovery
  • Process mining


Dive into the research topics of 'Interactive data-driven process model construction'. Together they form a unique fingerprint.

Cite this