Ad Feelders 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	2857	981
h 指数	28	18
i10 指数	53	28

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Hennie DanielsUniversiteit Tilburg, Erasmus Universiteit Rotterdam在 uvt.nl 的电子邮件经过验证
Linda C. van der GaagSenior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, Switzerland在 idsia.ch 的电子邮件经过验证
Arno KnobbeLIACS, Leiden University在 liacs.leidenuniv.nl 的电子邮件经过验证
Wouter DuivesteijnTU Eindhoven在 tue.nl 的电子邮件经过验证
H. MollenhorstResearcher, Wageningen Livestock Research, Wageningen University and Research在 wur.nl 的电子邮件经过验证
Henk HogeveenWageningen University在 wur.nl 的电子邮件经过验证
Marina VelikovaFormerly employed at TNO || Founder and CEO of Creazzia在 tno.nl 的电子邮件经过验证
Ron TriepelsMaastricht University在 maastrichtuniversity.nl 的电子邮件经过验证
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit Leiden在 uclouvain.be 的电子邮件经过验证
Matthijs van LeeuwenAssociate Professor, Leiden University在 liacs.leidenuniv.nl 的电子邮件经过验证
Hans L. BodlaenderProfessor Computer Science, Utrecht University在 uu.nl 的电子邮件经过验证
Jeroen De Knijfdata scientist, Randstad Group在 randstadgroep.nl 的电子邮件经过验证
Wienand OmtaCTO Core Life Analytics在 uu.nl 的电子邮件经过验证
Andres R. MasegosaUniversity of Aalborg在 cs.aau.dk 的电子邮件经过验证
Jevgenijs IvanovsArhus University在 math.au.dk 的电子邮件经过验证
Silja RenooijDepartment of Information and Computing Sciences, Universiteit Utrecht在 uu.nl 的电子邮件经过验证
Jack KleijnenEmeritus Professor of Simulation and Information Systems, Tilburg University在 tilburguniversity.edu 的电子邮件经过验证
Willie LoeffenCVI-Lelystad, part of Wageningen UR在 wur.nl 的电子邮件经过验证
Bart BaesensFull professor, KU Leuven在 kuleuven.be 的电子邮件经过验证
Robert Castelo (0000-0003-2229-4508)Associate Professor, Universitat Pompeu Fabra (ROR 04n0g0b29), Barcelona在 upf.edu 的电子邮件经过验证

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Ad Feelders

Associate Professor, Utrecht University

在 uu.nl 的电子邮件经过验证 - 首页

data mining machine learning pattern recognition #UU-ICS


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Methodological and practical aspects of data mining A Feelders, H Daniels, M Holsheimer Information & Management 37 (5), 271-281, 2000	309	2000
Exceptional model mining D Leman, A Feelders, A Knobbe Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008	195	2008
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	177	2016
Classification trees for problems with monotonicity constraints R Potharst, AJ Feelders ACM SIGKDD Explorations Newsletter 4 (1), 1-10, 2002	177	2002
Nearest neighbour classification with monotonicity constraints W Duivesteijn, A Feelders Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008	135	2008
Handling missing data in trees: Surrogate splits or statistical imputation? A Feelders European Conference on Principles of Data Mining and Knowledge Discovery …, 1999	124	1999
Learning Bayesian network parameters under order constraints A Feelders, LC Van der Gaag International Journal of Approximate Reasoning 42 (1-2), 37-53, 2006	116	2006
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	103	1997
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	81	2010
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	71	2010
Credit scoring and reject inference with mixture models AJ Feelders Intelligent Systems in Accounting, Finance & Management 9 (1), 1-8, 2000	69	2000
Monotonicity in Bayesian networks LC van der Gaag, HL Bodlaender, A Feelders arXiv preprint arXiv:1207.4160, 2012	64	2012
Pruning for monotone classification trees A Feelders, M Pardoel International Symposium on Intelligent Data Analysis, 1-12, 2003	57	2003
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	53	2012
Data-driven fraud detection in international shipping R Triepels, H Daniels, A Feelders Expert Systems with Applications 99, 193-202, 2018	49	2018
Monotone relabeling in ordinal classification A Feelders 2010 IEEE International Conference on Data Mining, 803-808, 2010	49	2010
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	44	1995
Credit scoring and reject inference with mixture models AJ Feelders Intelligent Systems in Accounting, Finance & Management 8 (4), 271-279, 1999	41	1999
A general model for automated business diagnosis AJ Feelders, HAM Daniels European Journal of Operational Research 130 (3), 623-637, 2001	40	2001
Isotonic classification trees R van de Kamp, A Feelders, N Barile Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009	39	2009

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