Functietitel : Professor MIS

Digital Transformation

Expert in
Operationeel en supply chain management


Professor Guido Dedene is Full Professor at KULEUVEN. He is Affiliated Professor at Vlerick Business School.



Articles in refereed journals with impact

  • Poelmans J. Dedene G. Snoeck M. Viaene S.  2012. An iterative requirements engineering framework based on formal concept analysis and C-K theory. Expert Systems with Applications, 39(9): 8115-8135.

  • Poelmans J. Van Hulle M. Viaene S. Elzinga P. Dedene G.  2011. Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence.. Applied Soft Computing, 11(4): 3870-3876.

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2011. Formally analyzing the concepts of domestic violence. Expert Systems with Applications, 38(4): 3116-3130.

  • De Hertogh S. Viaene S. Dedene G.  2011. Governing Web 2.0. Communications of the ACM, 54(3): 124-130.

  • Poelmans J. Dedene G. Verheyden G. Van der Mussele H. Viaene S. Peters E.  2010. Combining business process and data discovery techniques for analyzing and improving integrated care pathways. Lecture notes in Computer Science, 6171: 505-517.

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2010. Curbing domestic violence: instantiating C–K theory with formal concept analysis and emergent self-organizing maps. Intelligent Systems in Accounting, Finance & Management. Intelligent systems in accounting, finance and management, 17: 167-191.

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2010. Formal concept analysis in knowledge discovery: a survey. Lecture notes in Computer Science, (6208): 139-153.

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2009. A case of using formal concept analysis in combination with emergent self organizing maps for detecting domestic violence. Lecture notes in Computer Science, (5633): 247-260.

  • Poelmans J. Elzinga P. Viaene S. Dedene G. Van Hulle M.  2009. Analyzing domestic violence with topographic maps: a comparative study. Lecture notes in Computer Science, (5629): 246-254.

  • Poelmans J. Elzinga P. Viaene S. Van Hulle M. Dedene G.  2009. Gaining insight in domestic violence with Emergent Self Organizing Maps. Expert Systems with Applications, 36(9): 11864-11874.

  • Cumps B. Martens D. De Backer M. Haesen R. Viaene S. Dedene G. Baesens B. Snoeck M.  2009. Inferring comprehensible business/ICT alignment rules. Information and Management, 46(2): 116-124.

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2008. An exploration into the power of Formal Concept Analysis for domestic violence analysis. Lecture notes in Computer Science, (5077): 404-416.

  • Viaene S. Ayuso M. Guillén M. Van Gheel D. Dedene G.  2007. Strategies for detecting fraudulent claims in the automobile insurance industry. European Journal of Operational Research, 176(1): 565-583.

  • Viaene S. Dedene G.  2005. Cost-sensitive learning and decision making revisited. European Journal of Operational Research, 166(1): 212-220.

  • Viaene S. Dedene G. Derrig R.A.  2005. Auto claim fraud detection using Bayesian learning neural networks. Expert Systems with Applications, 29(3): 653-666.

  • Viaene S. Derrig R. Dedene G.  2004. Cost-sensitive learning and decision making for Massachusetts PIP claim fraud data. International journal of Intelligent Systems, 19(12): 1197-1215.

  • Viaene S. Derrig R.A. Dedene G.  2004. A case study of applying boosting naive Bayes to claim fraud diagnosis. IEEE transactions on knowledge and data engineering, 16(5): 612-620.

  • Viaene S. Dedene G.  2004. Insurance fraud: issues and challenges. Geneva Papers on Risk and Insurance, 29(2): 313-333.

Articles in other (un)refereed journals

  • Dedene G. Warnar R. Mercado C. Peters E. Viaene S.  2015. Assessing the value of process improvement by means of service imperfections and value-leaks: the case of a large scale municipality contact center. Service Science, 7(3): 196-209.

  • Poelmans J. Elzinga P. Viaene S. Dedene G. Kuznetsov S.  2011. A concept discovery approach for fighting human trafficking and forced prostitution.. Lecture notes in Computer Science, : 201-204.

  • Cumps B. Viaene S. Dedene G.  2010. Linking the strategic importance of ICT with investment in business-ICT alignment: an explorative framework. International Journal of IT/Business Alignment and Governance, 1(1): 39-57.

  • Cumps B. Viaene S. Dedene G.  2008. IT kan je uitbesteden, alignment niet!. IT Professional, (July)

  • Cumps B. Viaene S. Dedene G.  2008. Alignmentrecepten voor de CIO. Hoe werkt alignment nu precies in de praktijk?. IT Professional, (March)

  • Cumps B. Viaene S. Dedene G.  2006. Managing for better business IT-alignment. IT Professional, 8(5): 17-24.

  • Cumps B. Viaene S. Dedene G. Vandenbulcke J. J.  2005. Richtlijnen om Business en IT op elkaar af te stemmen (Europese studie naar Business/ICT alignment). Informatie: Maandblad voor de informatievoorziening, 47(7): 12-15.

  • Viaene S. Dedene G.  2004. Screening insurance claims for fraud. Belgian Journal of Banking and Finance, (2): 107-110.

  • Van Gestel T. Suykens J.A.K. Baesens B. Viaene S. Vanthienen J. Dedene G. Vandewalle J.  2004. Benchmarking least squares support vector machine classifiers.. Machine learning, 54(1): 5-32.

  • Viaene S. Dedene G.  2003. Verzekeringsfraude: Hoezo?. Business Inzicht, 14(dec): 1-4.

  • Snoeck M. Michiels C. Dedene G.  2003. Consistency by construction: the case of MERODE. Lecture notes in Computer Science, 2814: 105-117.

  • Lemahieu W. Snoeck M. Michiels C. Goethals F. Dedene G. Vandenbulcke J. J.  2003. An event based approach to web service design and interaction. Lecture notes in Computer Science, 2642: 333-340.

  • Snoeck M. Lemahieu W. Michiels C. Dedene G.  2003. Event-based software architectures. Lecture notes in Computer Science, 2817: 107-117.

  • Lemahieu W. Snoeck M. Michiels C. Goethals F. Dedene G. Vandenbulcke J. J.  2003. Event-based web service description and coordination. Lecture notes in Computer Science,

  • Viaene S. Derrig R.A. Baesens B. Dedene G.  2002. A comparison of state-of-the-art classification techniques for expert automobile insurance claim fraud detection. Journal of Risk and Insurance, 69(3): 373-421.

  • Baesens B. Viaene S. Van den Poel D. Vanthienen J. Dedene G.  2002. Bayesian neural networks for repeat purchase modelling in direct marketing. European Journal of Operational Research, 138(1): 191-211.

  • Viaene S. Derrig R.A. Dedene G.  2002. Boosting naïve Bayes for claim fraud diagnosis. Lecture notes in Computer Science,

  • De Backer M. Dedene G. Snoeck M.  2002. An encapsulated Eiffel education environment, based on WebServices. Journal of Object Technology, 1(3)

  • Viaene S. Veugelers R. Dedene G.  2002. Insurance bargaining under risk aversion. Economic Modelling, 19(2): 245-259.

  • Viaene S. Baesens B. Van Gestel T. Suykens J.A.K. Van den Poel D. Vanthienen J. Dedene G.  2001. Knowledge discovery in a direct marketing case using least squares support vector machines. International journal of Intelligent Systems, 16(9): 1023-1036.

  • Viaene S. Baesens B. Van den Poel D. Dedene G. Vanthienen J.  2001. Wrapped input selection using multilayer perceptrons for repeat purchase modeling in direct marketing. International journal of Intelligent Systems in Accounting, 10(2): 115-126.

Book Chapters

  • Poelmans J. Van Hulle M. Elzinga P. Viaene S. Dedene G.  2008. Topographic maps for domestic violence analysis. In: Ohkita M. Tokutaka H. Fujimura K. Self-organizing maps and the related tools (pp. 136-145).

  • Cumps B. Dedene G. Viaene S.  2007. ICT outsourcing: A resource based information management perspective. In: Huizing A. De Vries E. Information management: Setting the scene (pp. 205-233).

  • Viaene S. Derrig R.A. Dedene G.  2003. Illustrating the explicative capabilities of Bayesian learning neural networks for auto claim fraud detection. In: Jain L. Shapiro A. Intelligent and other computational techniques in insurance: theory and applications (pp. 365-399). World Scientific Publishing.

  • Viaene S. Baesens B. Van den Poel D. Dedene G. Vanthienen J.  2002. Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing. 

  • Pieck F. Viaene S. Dedene G.  2001. Developing enterprise architecture: The case of KBCInsurance. In: Vandenbulcke J. Snoeck M. New directions in software engineering. Liber Amicorum Prof. Emeritus Verhelst. (pp. 153-160). Universitaire Pers Leuven.

Conference Presentations

  • Cumps B. Viaene S. Dedene G. Vandenbulcke J. J.  2006. A theoretical exploration of the relationship between outsourcing and business/ICT alignment. Paper presented at 2006 European Conference on Information Systems (ECIS)., June 12-14, Göteborg, Sweden.

  • Cumps B. Viaene S. Dedene G. Vandenbulcke J. J.  2006. A European study on business/ICT alignment. Paper presented at 39th Hawaii International Conference on System Sciences (HICSS), January 4-7, Popiu, Kauai, Hawai.

  • Dedene G. Viaene S. Cumps B. De Backer M.  2004. An ABC-based approach for operational Business – ICT alignment. Paper presented at 11th European Conference on Information Technology Evaluation, November 11-12, Amsterdam, the Netherlands.

  • Viaene S. Dedene G.  2003. KDD beyond the baseline. 

  • Viaene S. Dedene G.  2003. Coming to terms with the new economics of information. 

Conference Proceedings

  • Dedene G. Eklund P. Viaene S. Snoeck M.  2011. Extending formal concept analysis with second ordering relationship on concepts: a software engineering case study. Nicosia:

  • Elzinga P. Neznanov A. Dedene G. Ignatov D. Viaene S.  2011. Concept relation discovery and innovation enabling technology. (pp. 53-62). Moscow:

  • Ignatov D. Van Hulle M. Viaene S. Dedene G. Elzinga P.  2011. Analysis of police reports using emergent self-organizing maps and multidimensional scaling. (pp. 915-925). Kolomna:

  • Poelmans J. Elzinga P. Viaene S. Dedene G. Kuznetsov S.  2011. Text mining scientific papers: a survey on FCA-based information retrieval research. New York:

  • Poelmans J. Dedene G. Snoeck M. Viaene S.  2010. Using formal concept analysis for the verification of process-data matrices in conceptual domain models, proc.. Innsbruck:

  • Elzinga P. Poelmans J. Viaene S. Dedene G. Morsing S.  2010. Terrorist threat assessment with formal concept analysis. (pp. 77-82). Vancouver:

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2010. Concept Discovery Innovations in Law Enforcement: a Perspective. Thesalloniki:

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2010. A method based on Temporal concept analysis for detecting and profiling human trafficking suspects. (pp. 330-338). Innsbruck:

  • Poelmans J. Elzinga P. Viaene S. Van Hulle M. Dedene G.  2009. How emergent self organizing maps can help counter domestic violence. (pp. 126-136). Los Angeles:

  • Elzinga P. Poelmans J. Viaene S. Dedene G.  2009. Detecting domestic violence - showcasing a knowledge browser based on formal concept analysis and emergent self organizing maps. (pp. 11-18). Milan:

  • Cumps B. Viaene S. Dedene G.  2007. Testing the influence of two ICT management practices on B/ICT alignment. Quebec, Montreal:

  • Cumps B. Viaene S. Dedene G. Vandenbulcke J. J.  2006. An empirical study on business/ICT alignment in European organisations. Poipu, Kauai:

Research reports

  • Poelmans J. Elzinga P. Viaene S. Dedene G.  2010. Concept relation discovery and innovation enabling technology (CORDIET).