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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
2992000
Exceptional model mining
D Leman, A Feelders, A Knobbe
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
1822008
Classification trees for problems with monotonicity constraints
R Potharst, AJ Feelders
ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002
1702002
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
1672016
Handling missing data in trees: Surrogate splits or statistical imputation?
A Feelders
European Conference on Principles of Data Mining and Knowledge Discovery …, 1999
1251999
Nearest neighbour classification with monotonicity constraints
W Duivesteijn, A Feelders
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
1232008
Learning Bayesian network parameters under order constraints
A Feelders, LC Van der Gaag
International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006
1152006
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
961997
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
792010
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 9 (1), 1-8, 2000
692000
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
652010
Monotonicity in Bayesian networks
LC van der Gaag, HL Bodlaender, A Feelders
arXiv preprint arXiv:1207.4160, 2012
572012
Pruning for monotone classification trees
A Feelders, M Pardoel
International Symposium on Intelligent Data Analysis, 1-12, 2003
572003
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
492012
Monotone relabeling in ordinal classification
A Feelders
2010 IEEE International Conference on Data Mining, 803-808, 2010
482010
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
451995
Data-driven fraud detection in international shipping
R Triepels, H Daniels, A Feelders
Expert Systems with Applications 99, 193-202, 2018
442018
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999
401999
Isotonic classification trees
R van de Kamp, A Feelders, N Barile
Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009
392009
A general model for automated business diagnosis
AJ Feelders, HAM Daniels
European Journal of Operational Research 130 (3), 623-637, 2001
392001
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