Research Output per year
Research Output 1988 2018
- 1 - 50 out of 83 results
- Title (ascending)
A business intelligence framework for risk assessment in business networks
Liu, L., Daniels, H. & Weigand, H., Jun 2012.Research output: Contribution to conference › Poster › Other 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 conference › Abstract › Other research output
349
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(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 paper › Discussion paper › Other 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 journal › Article › Scientific › peer-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/Report › Report › Professional
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. 349-358Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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. 18Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Anomaly detection in real-time gross payment data
Triepels, R., Daniels, H. & Heijmans, R., Jun 2017.Research output: Contribution to conference › Paper › Other 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. 433-441Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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. 87-100Research output: Contribution to journal › Article › Scientific › peer-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. 129-143Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional
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 journal › Article › Scientific › peer-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. 159-178Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
424
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(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 paper › Discussion paper › Other 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. 707-712Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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 proceeding › Chapter › Scientific › peer-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. 5-19Research output: Contribution to journal › Article › Scientific › peer-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. 325-331Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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. 18-29Research output: Contribution to journal › Article › Scientific › peer-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 proceeding › Chapter › Scientific › peer-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. 251-271Research output: Contribution to journal › Article › Scientific › peer-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 PublisherResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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 paper › Discussion paper › Other 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/Report › Report › Professional
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 conference › Paper › Other research output
Learning systems
Labels
Costs
Comparison of universal approximators incorporating partial monotonicity by structure
Minin, A., Velikova, M. V., Lang, B. & Daniëls, H. A. M., 2010, In : Neural Networks: The official journal of the International Neural Network Society, European Neural Network Society, Japanese Neural Network Society. 23, p. 471-475Research output: Contribution to journal › Article › Scientific › peer-review
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/Report › Report › Professional
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 paper › Other 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. 193-202Research output: Contribution to journal › Article › Scientific › peer-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 journal › Article › Scientific › peer-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. 705-710Research output: Contribution to journal › Article › Scientific › peer-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. 62-62Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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 paper › Discussion paper › Other 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. 387-397Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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. 12-19Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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 proceeding › Chapter › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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/Report › Report › Professional
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. 123-131Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional
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 journal › Article › Scientific › peer-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: RoutledgeResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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. 99-128Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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. 884-897Research output: Contribution to journal › Article › Scientific › peer-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 DelftResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Professional
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. 77-89Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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. 67-82Research output: Contribution to journal › Article › Scientific › peer-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 conference › Abstract › Other 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. 240-247Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-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. 10-10Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review