Photo of Hennie Daniels

Hennie Daniels

prof.dr.ir.

  • Warandelaan 2, Koopmans Building, room K 643

    5037 AB Tilburg

    Netherlands

1988 …2018
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Research Output 1988 2018

A business intelligence framework for risk assessment in business networks

Liu, L., Daniels, H. & Weigand, H., Jun 2012.

Research output: Contribution to conferencePosterOther research output

A comparison of three models to predict liquidity flows between banks based on daily payments transactions

Triepels, R. & Daniels, H., Aug 2016.

Research output: Contribution to conferenceAbstractOther research output

349 Downloads (Pure)

A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions

Triepels, R. & Daniels, H., 7 Sep 2016, Tilburg: Information Management, 15 p. (CentER Discussion Paper; vol. 2016-037).

Research output: Working paperDiscussion paperOther research output

File
Payment
Liquidity
Dynamic systems
Moving average
Prediction

A general model for automated business diagnosis

Feelders, A. J. & Daniëls, H. A. M., 2001, In : European Journal of Operational Research. 130, 3, p. 623-637 14 p.

Research output: Contribution to journalArticleScientificpeer-review

A General Model for Automated Business Diagnosis

Feelders, A. J. & Daniëls, H. A. M., 1998, Rotterdam: Erasmus Institute for Advanced Studies in Management. 25 p. (Management Report Series; no. 22)

Research output: Book/ReportReportProfessional

Analysis for detecting and explaining exceptions in business data

Liu, L. & Daniëls, H. A. M., 2013, Proceedings of the 26th Bled eConference. Lux Wigand, D. & et al (eds.). Bled: Unknown Publisher, p. 349-358

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Competitive intelligence
Industry

Analysis of variance in OLAP information systems

Daniëls, H. A. M. & Caron, E. A. M., 2011, Proceedings of the 8th International conference on Computational Management Science (CMS2011). Neuchâtel: Computer Science Department, University of Neuchâtel, p. 18

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Anomaly detection in real-time gross payment data

Triepels, R., Daniels, H. & Heijmans, R., Jun 2017.

Research output: Contribution to conferencePaperOther research output

Anomaly detection in real-time gross payment data

Triepels, R., Daniels, H. & Heijmans, R., 2017, Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017). Camp, O. & Filipe, J. (eds.). SciTePress, p. 433-441

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A non-parametric test for partial monotonicity in multiple regression

van Beek, M. & Daniëls, H. A. M., Jun 2014, In : Computational Economics. 44, 1, p. 87-100

Research output: Contribution to journalArticleScientificpeer-review

Monotonicity
Nonparametric test
Multiple regression
Simulation
Ceteris paribus

Application of constraint propagation in monetary economics

Berndsen, R. J. & Daniels, H. A. M., 1988, Proceedings of the conference on Expert Systems and their Applications, Avignon. Unknown Publisher, p. 129-143

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Application of MLP networks to house pricing and bond rating

Daniëls, H. A. M. & Kamp, B., 1999, In : Neural Computing and Applications. 8, 3, p. 226-234 8 p.

Research output: Contribution to journalArticleScientificpeer-review

Application of neural networks to bond rating and house pricing

Daniëls, H. A. M., Kamp, B. & Verkooijen, W. J. H., 1998, Biometric Approaches in Management. Deissenberg, J. & Aurifeille, J. (eds.). Deventer: Kluwer Academic Publishers, p. 159-178

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

424 Downloads (Pure)

Application of Neural Networks to House Pricing and Bond Rating

Daniëls, H. A. M., Kamp, B. & Verkooijen, W. J. H., 1997, Tilburg: Operations research, 18 p. (CentER Discussion Paper; vol. 1997-96).

Research output: Working paperDiscussion paperOther research output

File
Neural networks
Costs
Economics
Feedforward neural networks
Neurons

Auditing data reliability in international logistics: An application of bayesian networks

Liu, L., Daniels, H. A. M. & Triepels, R. J. M. A., 2014, Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS 2014). Hammoudi, S., Maciaszek, L. & Cordeiro, J. (eds.). Lisbon, p. 707-712

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Bayesian networks
Logistics
Industry
Risk management

Automated business diagnosis in the OLAP context

Caron, E. A. M. & Daniëls, H. A. M., 2005, Operations Research Proceedings 2004. Fleuren, H. A., den Hertog, D. & Kort, P. M. (eds.). Springer Verlag, p. 425-433 486 p.

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Automated explanation of financial data

Daniëls, H. A. M. & Caron, E. A. M., 2009, In : International Journal of Intelligent Systems in Accounting Finance & Management. 16, p. 5-19

Research output: Contribution to journalArticleScientificpeer-review

Financial data
Retail
Diagnostics
Statistics
Methodology

Business analysis in the OLAP context

Caron, E. A. M. & Daniëls, H. A. M., 2009, Proceedings of the 11th International Conference on Enterprise Information Systems (ICEIS 2009). Berlin: Springer Verlag, p. 325-331

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Business intelligence for improving supply chain risk management

Liu, L., Daniels, H. A. M., van Oosterhout, M. & van Dalen, J., 2014, In : International Journal of Advanced Logistics. 2, 2, p. 18-29

Research output: Contribution to journalArticleScientificpeer-review

Business intelligence
Management control
Supply risk management
Risk management
Analysts

Business intelligence for improving supply chain risk management

Liu, L., Daniels, H. A. M. & Hofman, W., 2014, Enterprise Information Systems: Revised Selected Papers, ICEIS 2013. Hammoudi, S., Cordeiro, J., Maciaszek, L. A. & Filipe, J. (eds.). Heidelberg: Springer Verlag, Vol. 190. p. 190-205 (Lecture Notes in Business Information Processing; vol. 190).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Business intelligence
Management control
Supply risk management
Diagnostics
Analysts
128 Downloads (Pure)

Causal reasoning and explanation in dynamic economic systems

Berndsen, R. J. & Daniels, H. A. M., 1994, In : Journal of Economic Dynamics and Control. 18, 1, p. 251-271

Research output: Contribution to journalArticleScientificpeer-review

File

Combining domain knowledge and data for house price modelling with classification trees and neural networks

Daniëls, H. A. M. & Feelders, A. J., 2001, Proceedings of the 5th European Conference on Principles and Practice of Knowledge Discovery in Databases. Unknown Publisher

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

245 Downloads (Pure)

Combining Domain Knowledge and Data in Datamining Systems

Daniëls, H. A. M. & Feelders, A. J., 2000, Tilburg: Operations research, 21 p. (CentER Discussion Paper; vol. 2000-63).

Research output: Working paperDiscussion paperOther research output

File

Combining Expert Knowledge and Databases for Risk Management

Daniëls, H. A. M. & van Dissel, H. G., 2003, Rotterdam: ERIM. 12 p. (ERIM Report Series on Research in Management ERS-2003-; no. 002-LIS)

Research output: Book/ReportReportProfessional

Combining open data and machine learning to predict food security in Ethiopia

van der Heijden, W., van den Homberg, M., Marijnis, M., de Graaff, M. & Daniels, H., Jul 2018.

Research output: Contribution to conferencePaperOther research output

Learning systems
Labels
Costs
Neural Networks (Computer)
Neural networks
Multilayer neural networks

Controlling the Flexibility of Neural Networks, An Empirical Study in Financial Modelling

Daniëls, H. A. M., Kamp, B. & Verkooijen, W. J. H., 1996, Rotterdam: Institute for Advanced Studies in Management. 20 p. (Management Report Series; no. 288)

Research output: Book/ReportReportProfessional

37 Downloads (Pure)

Cyclical patterns in risk indicators based on financial market infrastructure transaction data

Timmermans, M., Heijmans, R. & Daniels, H., 9 Jun 2017, Amsterdam: De Nederlandsche Bank, 29 p. (DNB Working Papers; vol. 558).

Research output: Working paperOther research output

Open Access
File
Financial markets
Transaction data
State-space model

Data driven fraud detection in international shipping

Triepels, R., Daniels, H. & Feelders, A. J., Jun 2018, In : Expert Systems with Applications. 99, p. 193-202

Research output: Contribution to journalArticleScientificpeer-review

Freight transportation
Bayesian networks
Topology
Personnel
Industry

Decision trees for monotone price models

Velikova, M. V. & Daniëls, H. A. M., 2004, In : Computational Management Science. 1, 3-4, p. 231-244 13 p.

Research output: Contribution to journalArticleScientificpeer-review

Derivation of monotone decision models from noisy data

Daniëls, H. A. M. & Velikova, M. V., 2006, In : IEEE Transactions on Systems, Man and Cybernetics C Applications and Reviews. 36, 5, p. 705-710

Research output: Contribution to journalArticleScientificpeer-review

Derivation of monotone decision models from noisy data

Daniëls, H. A. M. & Velikova, M. V., 2003, International Conference on Computational Management Science. Book of Absatracts. Unknown Publisher, p. 62-62

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

310 Downloads (Pure)

Derivation of Monotone Decision Models from Non-Monotone Data

Daniëls, H. A. M. & Velikova, M. V., 2003, Tilburg: Operations research, 16 p. (CentER Discussion Paper; vol. 2003-30).

Research output: Working paperDiscussion paperOther research output

File
Risk analysis
Decision trees
Data mining
Decision making
Economics

Design of neural networks for prediction and classification in economic problems

Daniëls, H. A. M., Kamp, B. & Verkooijen, W. J. H., 1996, Proceedings of the IFAC/IFIP/IFORS Conference "Modelling of National and Regional Economics". Vlacic, J. (ed.). London: Pergamon Press, p. 387-397

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Detecting and explaining business exceptions for risk assessment

Liu, L., Daniëls, H. A. M. & Hofman, W., 2013, Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013). Hammoudi, S., Maciaszek, L., Cordeiro, J. & Dietz, J. (eds.). Angers, France: Springer Verlag, Vol. 1. p. 442-447 (Lecture Notes in Business Information Processing; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Risk assessment
Competitive intelligence
Risk analysis
Industry

Detecting shipping fraud in global supply chains using probabilistic trajectory classification

Triepels, R. & Daniels, H., 2015, Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015): Doctoral Consortium. p. 12-19

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Freight transportation
Supply chains
Trajectories
Data mining
Classifiers

Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression

Triepels, R., Daniels, H. & Heijmans, R., 2018, (Accepted/In press) tba. Heidelberg: Springer Verlag, (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Detection and explanation of anomalous payment behavior in real-time gross settlement systems

Triepels, R., Daniels, H. & Heijmans, R., 2018, Enterprise Information Systems: 19th International Conference, ICEIS 2017. Hammoudi, S., Smialek, M., Camp, O. & Filipe, J. (eds.). Cham: Springer Verlag, p. 145-161 (Lecture Notes in Business Information Processing; vol. 321).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Diagnosis in the OLAP Context

Caron, E. A. M. & Daniëls, H. A. M., 2004, Rotterdam: ERIM. 18 p. (ERIM Research Paper; no. 2004-063-L)

Research output: Book/ReportReportProfessional

Envisionment and classification of economic behaviour

Berndsen, R. J. & Daniels, H. A. M., 1990, Proceedings of the Second Conference on Economics and Artificial Intelligence, Paris. Unknown Publisher, p. 123-131

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Estimating structural exchange rate models by artificial neural networks

Plasmans, J. E. J., Verkooijen, W. J. H. & Daniëls, H. A. M., 1998, In : Applied Financial Economics. 8, 5, p. 541-551 10 p.

Research output: Contribution to journalArticleScientificpeer-review

Exchange rate modelling using artificial neural networks

Plasmans, J. E. J., Verkooijen, W. J. H. & Daniëls, H. A. M., 1996, Proceedings of the International Conference on 'Forecasting Financial Markets - New Advances for Exchange Rates, Interest Rates and Asset Management'. Dunis, C. (ed.). London: Routledge

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Explanation generation in business performance models, with a case study in competition benchmarking

Daniëls, H. A. M. & Caron, E. A. M., 2007, Proceedings of the 9th International Conference on Enterprise Information Systems, Vol. 2. Cardoso, J., Cordeiro, J. & Filipe, J. (eds.). Spain: University of Madeira, p. 99-128

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Explanation of exceptional values in multidimensional databases

Caron, E. A. M. & Daniëls, H. A. M., 2008, In : European Journal of Operational Research. 188, 3, p. 884-897

Research output: Contribution to journalArticleScientificpeer-review

Online Analytical Processing
Managers
Multidimensional Model
Multidimensional Data
Methodology

Explanatory analysis for risk management

Liu, L. & Daniels, H., Feb 2013, Proceedings of the 7th International Workshop on Value Modeling and Business Ontology. Delft: TU Delft

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

Explanatory analysis in business intelligence systems

Caron, E. A. M. & Daniëls, H. A. M., 2012, Proceedings of the 20th European Conference on Information System (ECIS 2012). Dinter, B. & Smolnik, S. (eds.). Barcelona: Unknown Publisher, p. 77-89

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Competitive intelligence
Sales
Information systems
Availability
Industry

Explanatory analytics in OLAP

Caron, E. A. M. & Daniëls, H. A. M., 2013, In : International Journal of Business Intelligence Research. 4, 3, p. 67-82

Research output: Contribution to journalArticleScientificpeer-review

Industry
Sales
Information systems
Availability
Statistical Models

Extending the OLAP Framework for Automated Explanatory Tasks

Caron, E. & Daniels, H., 2004. 1 p.

Research output: Contribution to conferenceAbstractOther research output

Extensions to the OLAP framework for business analysis

Caron, E. A. M. & Daniëls, H. A. M., 2008, Proceedings of the 3rd International Conference on Software and Data Technologies (ICSOFT). Cordeiro, J. & Ranchordas, A. (eds.). Berlin: Springer Verlag, p. 240-247

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Processing
Industry
Sensitivity analysis
Managers
Agglomeration

Forecasting and classification with neural networks: Application to the mortgage market and bond rating

Daniëls, H. A. M., Kamp, B. & Verkooijen, W. J. H., 1998, Proceedings of the 18th International Symposium on Forecasting (ISF 98). Edinburgh: University of Edinburgh, p. 10-10

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review