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Note: Links lead to the DBLP on the Web. A. J. Feelders 9 Rob Potharst , A. J. Feelders: Classification trees for problems with monotonicity constraints. SIGKDD Explorations 4 (1): 1-10 (2002) 8 Robert Castelo , A. J. Feelders, Arno Siebes : MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001 : 289-298 7 A. J. Feelders: Prior Knowledge in Economic Applications of Data Mining. PKDD 2000 : 395-400 6 A. J. Feelders: Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. PKDD 1999 : 329-334 5 A. J. Feelders, Soong Chang , Geoffrey J. McLachlan : Mining in the Presence of Selectivity Bias and its Application to Reject Inference. KDD 1998 : 199-203 4 Jack P. C. Kleijnen , A. J. Feelders, Russell C. H. Cheng : Bootstrapping and Validation of Metamodels in Simulation. Winter Simulation Conference 1998 : 701-705 3 A. J. Feelders: Data mining and related techniques. EUROSIM 1996 : 521-527 2 A. J. Feelders: Learning from Biased Data Using Mixture Models. KDD 1996 : 102-107 1 A. J. Feelders, A. J. F. le Loux , J. W. van't Zand : Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD 1995 : 106-111  DiSC'03 © 2003 Association for Computing Machinery |
