Christoffer Olling Back

Christoffer Olling Back

 https://orcid.org/0000-0001-7998-7167
20182019

Research activity per year

Personal profile

Short presentation

My research focus is on business process analytics and process mining, a form of data mining which aims at extracting business process models from event logs for purposes of bottleneck identification, compliance checking, operational support, and more. In particular, I am working on methods for constructing hybrid process models, i.e. models which combine imperative (flow-based) and declarative (constraint-based) paradigms.

I am generally interested in artificial intelligence, both probabilistic and logic-based approaches.

As a professionally trained glass artist, I've had numerous exhibitions across Denmark and have developed a novel technology for the automated shaping of glass.


EDUCATION

Mathematics, supplementary coursework (Roskilde University)
MSc Artificial Intelligence (University of Edinburgh)
BA Psychology w/ Computer Science (Lewis & Clark College)
BA Applied Arts (Royal Danish Academy of Fine Arts)


...more (see CV)

For more info, see: www.christofferback.com

CV

CV

Education/Academic qualification

Mathematical Foundations of Probabilistic Topic Modelling, Roskilde University

2016 → 2017

Award Date: 20 Jan 2017

Royal Danish Academy of Fine Art

2008 → 2012

Award Date: 1 Jun 2012

Modelling Strategic Negotiation Behaviour in Colored Trails, University of Edinburgh

2010 → 2011

Award Date: 24 Nov 2011

Lewis and Clark College

2004 → 2008

Award Date: 11 May 2008

External positions

Olling Glass

2009 → …

Back Electronics A/S

2008 → 2017

Keywords

  • Faculty of Science
  • Artificial Intelligence
  • Analytics
  • Data science
  • Digital Fabrication
  • Machine Learning
  • Process Mining

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  • 2 Article in proceedings
  • 1 Book chapter
  • 1 Journal article
  • 1 Working paper

  • Discovering Responsibilities with Dynamic Condition Response Graphs

    Nekrasaite, V., Parli, A. T., Back, C. O. & Slaats, T., 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 proceeding › Article in proceedings › Research › peer-review

    2 Citations (Scopus)

  • Entropy as a Measure of Log Variability

    Back, C. O., Debois, S. & Slaats, T., 1 Jun 2019, In: Journal on Data Semantics. 8, 2, p. 129–156 28 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

    1 Citation (Scopus)

  • Imperative versus Declarative Process Mining: An Empirical Comparison

    Back, C. O., Debois, S. & Slaats, T., 2019, (In preparation).

    Research output: Working paper › Research

    59 Downloads (Pure)

  • Towards an Empirical Evaluation of Imperative and Declarative Process Mining

    Back, C. O., Debois, S. & Slaats, T., 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 proceeding › Article in proceedings › Research › peer-review

    5 Citations (Scopus)

  • Towards an Entropy-Based Analysis of Log Variability

    Back, C. O., Debois, S. & Slaats, T., 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 proceeding › Book chapter › Research › peer-review

    3 Citations (Scopus)
    45 Downloads (Pure)