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Ad Feelders
Ad Feelders
universitair docent informatica, Universiteit Utrecht
Verified email at uu.nl
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
2932000
Exceptional model mining
D Leman, A Feelders, A Knobbe
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
1802008
Classification trees for problems with monotonicity constraints
R Potharst, AJ Feelders
ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002
1642002
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
1612016
Nearest neighbour classification with monotonicity constraints
W Duivesteijn, A Feelders
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
1182008
Learning Bayesian network parameters under order constraints
A Feelders, LC Van der Gaag
International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006
1112006
Handling missing data in trees: surrogate splits or statistical imputation?
A Feelders
Principles of Data Mining and Knowledge Discovery: Third European Conference …, 1999
1111999
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
901997
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
662000
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
602010
Monotonicity in Bayesian networks
LC van der Gaag, HL Bodlaender, A Feelders
arXiv preprint arXiv:1207.4160, 2012
542012
Pruning for monotone classification trees
A Feelders, M Pardoel
Advances in Intelligent Data Analysis V: 5th International Symposium on …, 2003
532003
Monotone relabeling in ordinal classification
A Feelders
2010 IEEE International Conference on Data Mining, 803-808, 2010
512010
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
472012
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
431995
Data-driven fraud detection in international shipping
R Triepels, H Daniels, A Feelders
Expert Systems with Applications 99, 193-202, 2018
412018
A general model for automated business diagnosis
AJ Feelders, HAM Daniels
European Journal of Operational Research 130 (3), 623-637, 2001
392001
Credit scoring and reject inference with mixture models
AJ Feelders
Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999
391999
Isotonic classification trees
R van de Kamp, A Feelders, N Barile
Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009
362009
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