Christoffer Olling Back

Christoffer Olling Back

PhD Student


Publication year:
  1. Published

    Entropy as a Measure of Log Variability

    Back, Christoffer Olling, Debois, S. & Slaats, Tijs, 14 Jun 2019, In : Journal on Data Semantics. 8, 2, p. 129–156 28 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Towards an Empirical Evaluation of Imperative and Declarative Process Mining

    Back, Christoffer Olling, Debois, S. & Slaats, Tijs, 2018, Advances in Conceptual Modelling: ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME Xi’an, China, October 22–25, 2018 Proceedings. Springer, p. 191-198 8 p. Chapter 24. (Lecture Notes in Computer Science, Vol. 11158).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Towards an Entropy-Based Analysis of Log Variability

    Back, Christoffer Olling, Debois, S. & Slaats, Tijs, 2018, Business Process Management Workshops: BPM 2017 International Workshops, Barcelona, Spain, September 10–11, 2017, Revised Papers. Teniente, E. & Weidlich, M. (eds.). Springer, p. 53-70 (Lecture Notes in Business Information Processing, Vol. 308).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  4. In preparation

    Imperative versus Declarative Process Mining: An Empirical Comparison

    Back, Christoffer Olling, Debois, S. & Slaats, Tijs, 2020, (In preparation).

    Research output: Working paperResearch

  5. Published

    Discovering Responsibilities with Dynamic Condition Response Graphs

    Nekrasaite, V., Parli, A. T., Back, Christoffer Olling & Slaats, Tijs, 3 Jun 2019, Advanced Information Systems Engineering: 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings. Giorgini, P. & Weber, B. (eds.). 31 ed. Springer, p. 595-610 15 p. (Lecture Notes in Computer Science, Vol. 11483).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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