Hennie Daniels

prof.dr.ir.

On-call employee - scientific staff, Tilburg School of Economics and Management, Econometrics and Operations Research

Phone+31134662026
EmailH.A.M.Daniels@tilburguniversity.edu

Warandelaan 2, Koopmans Building, room K 822
5037 AB Tilburg
Netherlands

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Personal profile

Career

PhD supervision

PROMOTOR/PROMOTIECOMMISSI:

Promotions recently taken place:

Promotor of W. Verkooijen (KUB), B. Kamp (KUB).
Copromotor of R.J. Berndsen (KUB), A.F. Feelders (KUB).
External examinar of the Ph. D. Thesis of Y.K. Wong, Department of Economics,Heriot Watt University, Edinburgh.
Member promotioncommission: A. Bialowas (EUR), O. de Troyer (KUB), A. Makarovic (UT), T.Spight (EUR), R.Potharst (EUR), P.Pompe (UT), W. Beers (UVT).
PhD promotions under my guidance: Emiel Caron (EUR), Explanation in Finanial Diagnosis, starting date october 1, 2002,
Marina Velikova (UvT): Information Systems for Credit Scoring, starting date april 1, 2002.

External positions

Professor Business Intelligence, Erasmus University Rotterdam

Keywords

Knowledge Management
Neural Networks
Business Intelligence
Artificial Intelligence
Data Mining
Decision Support Systems

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Supply chains Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1988 2018

22 Article
21 Conference contribution
18 Chapter
7 Report
15 More

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

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 journal › Article › Scientific › peer-review

Freight transportation

Bayesian networks

Topology

Personnel

Industry

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

Sensitivity analysis in OLAP databases

Caron, E. & Daniels, H., 2018, Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018). Madeira: SciTePress, p. 221-228

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access

Online Analytical Processing

Sensitivity Analysis

System of equations

Implicit Function Theorem

Business Model