Ad Feelders
Ad Feelders
universitair docent informatica, Universiteit Utrecht
Geverifieerd e-mailadres voor uu.nl
Titel
Geciteerd door
Geciteerd door
Jaar
Methodological and practical aspects of data mining
A Feelders, H Daniels, M Holsheimer
Information & Management 37 (5), 271-281, 2000
2722000
Exceptional model mining
D Leman, A Feelders, A Knobbe
Joint European conference on machine learning and knowledge discovery in …, 2008
1442008
Classification trees for problems with monotonicity constraints
R Potharst, AJ Feelders
ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002
1292002
Exceptional model mining
W Duivesteijn, AJ Feelders, A Knobbe
Data Mining and Knowledge Discovery 30 (1), 47-98, 2016
1072016
Learning Bayesian network parameters under order constraints
A Feelders, LC Van der Gaag
International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006
972006
Nearest neighbour classification with monotonicity constraints
W Duivesteijn, A Feelders
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
922008
Handling missing data in trees: surrogate splits or statistical imputation?
A Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
851999
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
681997
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
592010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 9 (1), 1-8, 2000
512000
Pruning for monotone classification trees
A Feelders, M Pardoel
International Symposium on Intelligent Data Analysis, 1-12, 2003
502003
Monotonicity in Bayesian networks
LC Van Der Gaag, HL Bodlaender, A Feelders
arXiv preprint arXiv:1207.4160, 2012
452012
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
422010
Monotone relabeling in ordinal classification
A Feelders
2010 IEEE International Conference on Data Mining, 803-808, 2010
412010
A general model for automated business diagnosis
AJ Feelders, HAM Daniels
European Journal of Operational Research 130 (3), 623-637, 2001
402001
Isotonic classification trees
R Van De Kamp, A Feelders, N Barile
International Symposium on Intelligent Data Analysis, 405-416, 2009
312009
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999
311999
Nonparametric monotone classification with MOCA
N Barile, A Feelders
2008 Eighth IEEE International Conference on Data Mining, 731-736, 2008
292008
Prior knowledge in economic applications of data mining
AJ Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
292000
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20