prof.dr.ir. H.A.M. Daniels
Tilburg School of Economics and Management
Journal articles
- 2010
- Daniels, H.A.M., & Velikova, M.V. (2010). Monotone and partially monotone neural networks. IEEE Transactions on Neural Networks, 21(6), 906-917.
- Minin, A., Velikova, M.V., Lang, B., & Daniëls, H.A.M. (2010). Comparison of universal approximators incorporating partial monotonicity by structure. Neural Networks, 23, 471-475.
- 2009
- Daniëls, H.A.M., & Caron, E. (2009). Automated explanation of financial data. International Journal of Intelligent Systems in Accounting Finance & Management, 16, 5-19.
- 2008
- Caron, E., & Daniëls, H.A.M. (2008). Explanation of exceptional values in multidimensional databases. European Journal of Operational Research, 188(3), 884-897.
- 2006
- Daniëls, H.A.M., & Velikova, M.V. (2006). Derivation of monotone decision models from noisy data. IEEE Transactions on Systems, Man and Cybernetics, 36(5), 705-710.
- Velikova, M.V., Daniëls, H.A.M., & Feelders, A.J. (2006). Mixtures of monotone networks for prediction. International Journal of Computational Intelligence, 3(3), 205-214.
- Velikova, M.V., Daniëls, H.A.M., & Feelders, A.J. (2006). Solving partially monotone problems with neural networks. Enformatika: Transactions on Engineering Computing and Technology, 12, 82-87.
- 2005
- Daniëls, H.A.M., & Noordhuis, H. (2005). Project selection based on intellectual capital scorecards. International Journal of Intelligent Systems in Accounting Finance & Management, 13, 27-32.
- 2004
- Velikova, M.V., & Daniëls, H.A.M. (2004). Decision trees for monotone price models. Computational Management Science, 1(3-4), 231-244.
- 2002
- Daniëls, H.A.M., & Noordhuis, H. (2002). Management of intellectual capital by optimal portfolio selection. Lecture Notes in Artificial Intelligence, 2569, 613-619.
- 2001
- Feelders, A.J., & Daniëls, H.A.M. (2001). A general model for automated business diagnosis. European Journal of Operational Research, 130(3), 623-637.
- 2000
- Feelders, A.J., Daniëls, H.A.M., & Holsheimer, M. (2000). Methodological and practical aspects of datamining. Information & Management, 37(5), 271-281.
- 1999
- Daniëls, H.A.M., & Kamp, B. (1999). Application of MLP networks to house pricing and bond rating. Neural Computing and Applications, 8(3), 226-234.
- 1998
- Plasmans, J.E.J., Verkooijen, W.J.H., & Daniëls, H.A.M. (1998). Estimating structural exchange rate models by artificial neural networks. Applied Financial Economics, 8(5), 541-551.
- 1997
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1997). Modelling non-linearity in economic classification with neural networks. Journal of Intelligent Systems in Finance, Accountancy and Management, 6(2), 287-301.
Books
- 2008
- Velikova, M.V., & Daniëls, H.A.M. (2008). Monotone Prediction Models in Data Mining. Saarbrucken: VDM Verlag.
- 1999
- Daniëls, H.A.M. (1999). Van Kunstmatige Intelligentie Naar de Kenniseconomie. Delft: Eburon.
Book chapters
- 2007
- Daniëls, H.A.M., & Caron, E. (2007). Explanation generation in business performance models, with a case study in competition benchmarking. In J. Cardoso, J. Cordeiro, & J. Filipe (Eds.), Proceedings of the 9th International Conference on Enterprise Information Systems, Vol. 2 (pp. 99-128). Spain: University of Madeira.
- 2005
- Caron, E., & Daniëls, H.A.M. (2005). Automated business diagnosis in the OLAP context. In H.A. Fleuren, D. den Hertog, & P.M. Kort (Eds.), Operations Research Proceedings 2004 (pp. 425-433). Springer-Verlag.
- 2003
- Daniëls, H.A.M., & Velikova, M.V. (2003). Derivation of monotone decision models from noisy data. International Conference on Computational Management Science. Book of Absatracts (pp. 62).
- 2002
- Daniëls, H.A.M., & Dissel, H.G. van (2002). Risk management based on expert rules and data mining: A case study in insurance. Proceedings of the 10th European Conference on Information Systems (ECIS) Vol 2 (pp. 1589-1595).
- 2001
- Daniëls, H.A.M. (2001). On the integration of economic knowledge in data mining algorithms. Proceedings SBIT Symposium on Data Mining (pp. 14-19).
- Daniëls, H.A.M., & Feelders, A.J. (2001). On the implementation of monotonicity in economic decision problems. Proceedings of the 8th International Conference on Connexionist Approaches in Economics and Management (ACSEG) (pp. 25-34).
- Daniëls, H.A.M., & Feelders, A.J. (2001). Combining domain knowledge and data for house price modelling with classification trees and neural networks. Proceedings of the 5th European Conference on Principles and Practice of Knowledge Discovery in Databases.
- 1999
- Feelders, A.J., & Daniëls, H.A.M. (1999). Knowledge discovery in practice. In H.C. Jessen (Ed.), Proceedings of the International Conference on Machine Learning and Applications, Workshop 08: Data Mining in Economics, Marketing and Finance (pp. 1-8). Chania, Greece: Hellenic Artificial Intelligence Society.
- 1998
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1998). Forecasting and classification with neural networks: Application to the mortgage market and bond rating. In # # (Ed.), Proceedings of the 18th International Symposium on Forecasting (ISF 98) (pp. 10). Edinburgh: University of Edinburgh.
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1998). Application of neural networks to bond rating and house pricing. In J. Deissenberg & J. Aurifeille (Eds.), Biometric Approaches in Management (pp. 159-178). Deventer: Kluwer Academic Publishers.
- 1996
- Daniëls, H.A.M., Verkooijen, W.J.H., & Feelders, A.J. (1996). Kennissystemen voor financiële diagnose: taak en modelperspectief. In P.A.M. Ribbers, J.A.M. Oonincx, & C.A.T. Takkenberg (Eds.), Organisatie, Besturing en Informatie: Ontwikkeling van Theorie en Praktijk (pp. 307-332). Alphen a/d Rijn: Samson Bedrijfsadministratie.
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1996). Design of neural networks for prediction and classification in economic problems. In J. Vlacic (Ed.), Proceedings of the IFAC/IFIP/IFORS Conference "Modelling of National and Regional Economics" (pp. 387-397). London: Pergamon Press.
- Plasmans, J.E.J., Verkooijen, W.J.H., & Daniëls, H.A.M. (1996). Exchange rate modelling using artificial neural networks. In C. Dunis (Ed.), Proceedings of the International Conference on 'Forecasting Financial Markets - New Advances for Exchange Rates, Interest Rates and Asset Management'. London: Routledge.
- ????
- Daniëls, H.A.M., & Jonge, B. de (????). Project selection in knowledge intensive organisations based on intellectual capital scorecards. In C. Ciborra, R. Mercurio, M. De Marco, M. Martinez, & A. Cavignani (Eds.), Proceedings of the 11th European Conference on Information Systems (ECIS).
Working and/or discussion papers
- 2003
- Daniëls, H.A.M., & Velikova, M.V. (2003). Derivation of Monotone Decision Models from Non-Monotone Data. (CentER Discussion Paper, 2003-30, 2003-030) pp. 1-16.
- 2001
- Daniëls, H.A.M., & Feelders, A.J. (2001). Integrating Economic Knowledge in Data Mining Algorithms. (CentER Discussion Paper, 2001-63, 2001-063) pp. 1-16.
- 2000
- Daniëls, H.A.M., & Feelders, A.J. (2000). Combining Domain Knowledge and Data in Datamining Systems. (CentER Discussion Paper, 2000-63, 2000-063) pp. 1-21.
- 1997
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1997). Application of Neural Networks to House Pricing and Bond Rating. (CentER Discussion Paper, 1997-96, 1997-096) pp. 1-18.
- 1995
- Verkooijen, W.J.H., Plasmans, J.E.J., & Daniels, H.A.M. (1995). Long-run exchange rate determination: A neural network study. (CentER Discussion Paper, 1995-109, 1995-109)
- 1989
- Berndsen, R.J., & Daniels, H.A.M. (1989). Qualitative economics in Prolog. (ITK research report / Institute for Language Technology and Artificial Intelligence, 8)
Reports (government and other final research reports)
- 2004
- Caron, E., & Daniëls, H.A.M. (2004). Diagnosis in the OLAP Context. (ERIM Research Paper, 2004-063-L) pp. 1-18. Rotterdam: ERIM.
- 2003
- Daniëls, H.A.M., & Dissel, H.G. van (2003). Combining Expert Knowledge and Databases for Risk Management. (ERIM Report Series on Research in Management ERS-2003-, 002-LIS) pp. 1-12. Rotterdam: ERIM.
- Daniëls, H.A.M., & Jonge, B. de (2003). Project Selection Directed by Intellectual Capital Scorecards. (ERIM Report Series on Research in Management ERS-2003-, 001-LIS) pp. 1-11. Rotterdam: ERIM.
- 1998
- Feelders, A.J., & Daniëls, H.A.M. (1998). A General Model for Automated Business Diagnosis. (Management Report Series, 22) pp. 1-25. Rotterdam: Erasmus Institute for Advanced Studies in Management.
- 1996
- Daniëls, H.A.M., Kamp, B., & Verkooijen, W.J.H. (1996). Controlling the Flexibility of Neural Networks, An Empirical Study in Financial Modelling. (Management Report Series, 288) pp. 1-20. Rotterdam: Institute for Advanced Studies in Management.
Conference papers
- 2011
- Daniëls, H.A.M., & Caron, E. (2011). Analysis of variance in OLAP information systems. Proceedings of the 8th International conference on Computational Management Science (CMS2011) (p. 18). Neuchâtel: Computer Science Department, University of Neuchâtel.
- 2010
- Caron, E., & Daniëls, H.A.M. (2010). What-if analysis in OLAP, with a case study in supermarket sales data. In J. Cordeiro (Ed.), Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS 2010) (pp. 208-213). Berlin: Springer-Verlag.
- 2009
- Caron, E., & Daniëls, H.A.M. (2009). Business analysis in the OLAP context. Proceedings of the 11th International Conference on Enterprise Information Systems (ICEIS 2009) (pp. 325-331). Berlin: Springer-Verlag.
- Velikova, M.V., & Daniëls, H.A.M. (2009). On testing monotonicity of datasets. In R. Potharst & A. Feelders (Eds.), Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009) (pp. 11-23).
- 2008
- Caron, E., & Daniëls, H.A.M. (2008). Extensions to the OLAP framework for business analysis. In J. Cordeiro & A. Ranchordas (Eds.), Proceedings of the 3rd International Conference on Software and Data Technologies (ICSOFT) (pp. 240-247). Berlin: Springer-Verlag.
- Velikova, M.V., Daniëls, H.A.M., & Samulski, M. (2008). Partially monotone networks applied to breast cancer detection on mammograms. In V. Kurkova-Pohlova, R. Neruda, & J. Koutnik (Eds.), Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008) (pp. 917-926). Heidelberg: Springer-Verlag. (Lecture Notes in Computer Science, 5163).
- 2006
- Daniëls, H.A.M., & Smits, M.T. (2006). Portfolio optimization as a tool for knowledge management. In H.D. Haasis, H. Kopfer, & J. Schonberger (Eds.), Operations Research Proceedings 2005 (pp. 633-639). Berlin: Springer-Verlag.