Follow
Ad Feelders
Ad Feelders
Associate Professor, Utrecht University
Verified email at uu.nl - Homepage
Title
Cited by
Cited by
Year
Methodological and practical aspects of data mining
A Feelders, H Daniels, M Holsheimer
Information & Management 37 (5), 271-281, 2000
3162000
Exceptional model mining
D Leman, A Feelders, A Knobbe
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
2072008
Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts
W Duivesteijn, AJ Feelders, A Knobbe
Data Mining and Knowledge Discovery 30, 47-98, 2016
1892016
Classification trees for problems with monotonicity constraints
R Potharst, AJ Feelders
ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002
1832002
Nearest neighbour classification with monotonicity constraints
W Duivesteijn, A Feelders
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
1392008
Handling missing data in trees: Surrogate splits or statistical imputation?
A Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
1291999
Learning Bayesian network parameters under order constraints
A Feelders, LC Van der Gaag
International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006
1212006
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
1121997
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
862010
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
742010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 9 (1), 1-8, 2000
722000
Monotonicity in Bayesian networks
LC van der Gaag, HL Bodlaender, A Feelders
arXiv preprint arXiv:1207.4160, 2012
652012
Pruning for monotone classification trees
A Feelders, M Pardoel
International Symposium on Intelligent Data Analysis, 1-12, 2003
582003
Data-driven fraud detection in international shipping
R Triepels, H Daniels, A Feelders
Expert Systems with Applications 99, 193-202, 2018
572018
Different slopes for different folks: mining for exceptional regression models with cook's distance
W Duivesteijn, A Feelders, A Knobbe
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
562012
Monotone relabeling in ordinal classification
A Feelders
2010 IEEE International Conference on Data Mining, 803-808, 2010
502010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999
451999
Which method learns most from the data? Methodological issues in the analysis of comparative studies
AJ Feelders, WJH Verkooijen
Pre-proceedings of the Fifth International Workshop on Artificial …, 1995
441995
Isotonic classification trees
R van de Kamp, A Feelders, N Barile
Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009
422009
A general model for automated business diagnosis
AJ Feelders, HAM Daniels
European Journal of Operational Research 130 (3), 623-637, 2001
422001
The system can't perform the operation now. Try again later.
Articles 1–20