A. J. Feelders

According to our database1, A. J. Feelders authored at least 52 papers between 1992 and 2018.

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Bibliography

2018
Data-driven fraud detection in international shipping.
Expert Syst. Appl., 2018

2016
Learning from incomplete data in Bayesian networks with qualitative influences.
Int. J. Approx. Reason., 2016

Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts.
Data Min. Knowl. Discov., 2016

Exploiting monotonicity constraints to reduce label noise: An experimental evaluation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.
Knowl. Inf. Syst., 2015

Exceptional Model Mining with Tree-Constrained Gradient Ascent.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Quantitative Comparison of Semantic Web Page Segmentation Approaches.
Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015

Uncovering Document Fraud in Maritime Freight Transport Based on Probabilistic Classification.
Proceedings of the Computer Information Systems and Industrial Management, 2015

2014
Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Real-time Adaptive Problem Detection in Poultry.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2012
Active Learning with Monotonicity Constraints.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Probability estimation and a competence model for rule based e-tutoring systems.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

Different slopes for different folks: mining for exceptional regression models with cook's distance.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
On Generating All Optimal Monotone Classifications.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

When Learning Naive Bayesian Classifiers Preserves Monotonicity.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

Monotone Instance Ranking with mira.
Proceedings of the Discovery Science - 14th International Conference, 2011

2010
Monotone Relabeling in Ordinal Classification.
Proceedings of the ICDM 2010, 2010

Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach.
Proceedings of the ICDM 2010, 2010

2009
Aligning Bayesian Network Classifiers with Medical Contexts.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Isotonic Classification Trees.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

2008
An Experimental Comparison of Different Inclusion Relations in Frequent Tree Mining.
Fundam. Inform., 2008

Exceptional Model Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Nearest Neighbour Classification with Monotonicity Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Nonparametric Monotone Classification with MOCA.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
A new parameter Learning Method for Bayesian Networks with Qualitative Influences.
Proceedings of the UAI 2007, 2007

Parameter Learning for Bayesian Networks with Strict Qualitative Influences.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006
Learning Bayesian network parameters under order constraints.
Int. J. Approx. Reason., 2006

Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
Confidence intervals for probabilistic network classifiers.
Comput. Stat. Data Anal., 2005

Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences.
Proceedings of the UAI '05, 2005

Bringing order into bayesian-network construction.
Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), 2005

Instability of Classifiers on Categorical Data.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Learning Bayesian Network Models from Incomplete Data using Importance Sampling.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Monotonicity in Bayesian Networks.
Proceedings of the UAI '04, 2004

2003
Pruning for Monotone Classification Trees.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Classification trees for problems with monotonicity constraints.
SIGKDD Explorations, 2002

2001
A general model for automated business diagnosis.
Eur. J. Oper. Res., 2001

MAMBO: Discovering Association Rules Based on Conditional Independencies.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

2000
Methodological and practical aspects of data mining.
Inf. Manag., 2000

Prior Knowledge in Economic Applications of Data Mining.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999
Discussion on the paper by Friedman and Fisher.
Statistics and Computing, 1999

Credit scoring and reject inference with mixture models.
Int. Syst. in Accounting, Finance and Management, 1999

Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1998
Bootstrapping and Validation of Metamodels in Simulation.
Proceedings of the 30th conference on Winter simulation, WSC 1998, 1998

Mining in the Presence of Selectivity Bias and its Application to Reject Inference.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1996
Learning from Biased Data Using Mixture Models.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Data mining and related techniques.
Proceedings of the EUROSIM'96, 1996

1995
Data Mining for Loan Evaluation at ABN AMRO: A Case Study.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

On the Statistical Comparison of Inductive Learning Methods.
Proceedings of the Learning from Data, 1995

1992
Explanation and diagnosis in business assessment.
IEEE Trans. Systems, Man, and Cybernetics, 1992


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