Research output per year
Research output 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
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
Fingerprint
Dive into the research topics where Christoffer Olling Back is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
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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
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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
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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
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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
Prizes
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Nordea Fonden Scholarship
Back, Christoffer Olling (Recipient), 2010
Prize: Prizes, scholarships, distinctions