Christoffer Olling Back

20182019

Publikationer pr. år

Personlig profil

Kort præsentation

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

Uddannelse (Akademiske kvalifikationer)

Matematiske Grundlag for Probabilistisk Emne Modellering, Roskilde University

20162017

Dimissionsdato: 20 jan. 2017

Royal Danish Academy of Fine Art

20082012

Dimissionsdato: 1 jun. 2012

Modelling Strategic Negotiation Behaviour in Colored Trails, University of Edinburgh

20102011

Dimissionsdato: 24 nov. 2011

Lewis and Clark College

20042008

Dimissionsdato: 11 maj 2008

Eksterne ansættelser

Olling Glass

2009 → …

Back Electronics A/S

20082017

Emneord

  • Det Natur- og Biovidenskabelige Fakultet
  • Kunstig Intelligens
  • Maskinlæring
  • Business Process Modelling
  • Process Mining
  • Data science
  • Analytics
  • Digital Fabrication

Fingeraftryk

Dyk ned i forskningsemnerne, hvor Christoffer Olling Back er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
  • 1 Lignende profiler
  • 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. (red.). 31 udg. Springer, s. 595-610 15 s. (Lecture Notes in Computer Science, Bind 11483).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    2 Citationer (Scopus)
  • Entropy as a Measure of Log Variability

    Back, C. O., Debois, S. & Slaats, T., 1 jun. 2019, I: Journal on Data Semantics. 8, 2, s. 129–156 28 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    1 Citationer (Scopus)
  • Imperative versus Declarative Process Mining: An Empirical Comparison

    Back, C. O., Debois, S. & Slaats, T., 2019, (Under udarbejdelse).

    Publikation: Working paperForskning

    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, s. 191-198 8 s. Chapter 24. (Lecture Notes in Computer Science, Bind 11158).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    5 Citationer (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. (red.). Springer, s. 53-70 (Lecture Notes in Business Information Processing, Bind 308).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningpeer review

    3 Citationer (Scopus)
    45 Downloads (Pure)