Ad Feelders
Ad Feelders
universitair docent informatica, Universiteit Utrecht
Verified email at uu.nl
TitleCited byYear
Methodological and practical aspects of data mining
A Feelders, H Daniels, M Holsheimer
Information & Management 37 (5), 271-281, 2000
2602000
Exceptional model mining
D Leman, A Feelders, A Knobbe
Joint European conference on machine learning and knowledge discovery in …, 2008
1402008
Classification trees for problems with monotonicity constraints
R Potharst, AJ Feelders
ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002
1232002
Exceptional model mining
W Duivesteijn, AJ Feelders, A Knobbe
Data Mining and Knowledge Discovery 30 (1), 47-98, 2016
962016
Learning Bayesian network parameters under order constraints
A Feelders, LC Van der Gaag
International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006
922006
Nearest neighbour classification with monotonicity constraints
W Duivesteijn, A Feelders
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
812008
Handling missing data in trees: surrogate splits or statistical imputation?
A Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
741999
Using machine learning, neural networks, and statistics to predict corporate bankruptcy
PPM Pompe, AJ Feelders
Computer‐Aided Civil and Infrastructure Engineering 12 (4), 267-276, 1997
691997
Subgroup discovery meets bayesian networks--an exceptional model mining approach
W Duivesteijn, A Knobbe, A Feelders, M van Leeuwen
2010 IEEE International Conference on Data Mining, 158-167, 2010
522010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 9 (1), 1-8, 2000
502000
Pruning for monotone classification trees
A Feelders, M Pardoel
International Symposium on Intelligent Data Analysis, 1-12, 2003
492003
Monotonicity in Bayesian networks
LC Van Der Gaag, HL Bodlaender, A Feelders
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
442004
Which method learns most from the data?
AJ Feelders, W Verkooijen
441995
Decision-tree induction to detect clinical mastitis with automatic milking
C Kamphuis, H Mollenhorst, A Feelders, D Pietersma, H Hogeveen
Computers and Electronics in Agriculture 70 (1), 60-68, 2010
372010
A general model for automated business diagnosis
AJ Feelders, HAM Daniels
European Journal of Operational Research 130 (3), 623-637, 2001
362001
Monotone relabeling in ordinal classification
A Feelders
2010 IEEE International Conference on Data Mining, 803-808, 2010
352010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999
301999
Learning Bayesian Network Models from Incomplete Data using Importance Sampling.
C Riggelsen, A Feelders
AISTATS, 2005
292005
Isotonic classification trees
R Van De Kamp, A Feelders, N Barile
International Symposium on Intelligent Data Analysis, 405-416, 2009
282009
Prior knowledge in economic applications of data mining
AJ Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
282000
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Articles 1–20