J. Vanthienen

A new approach for measuring rule set consistency (2007)

Various algorithms are capable of learning a set of classification rules from a number of observations with their corresponding class labels. Whereas the obtained rule set is usually evaluated by...

An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules (2007)

Various algorithms are capable of learning a set of classification rules from a number of observations with their corresponding class labels. Whereas the obtained rule set is usually evaluated by...

Mues, C., Huysmans, J., Baesens, B., Vanthienen, J.

Forecasting and analysing insurance companies' ratings (2007)

Van Gestel, T., Martens, D., Baesens, B., Feremans, D., Huysmans, J., Vanthienen, J.

Insurance companies sell protection to policy holders against many types of risks: property damage or loss, health and casualties, financial losses, etc. In return for this risk protection, insurance...

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms (2007)

Hoffmann, F., Baesens, B., Mues, C., Vanthienen, J.

Generating both accurate as well as explanatory classification rules is becoming increasingly important in a knowledge discovery context. In this paper, we investigate the power and usefulness of...

Classification with Ant Colony Optimization (2007)

Martens, D., De Backer, M., Haesen, R., Vanthienen, J., Snoeck, M., Baesens, B.

Ant colony optimization (ACO) can be applied to the data mining field to extract rule-based classifiers. The aim of this paper is twofold. On the one hand, we provide an overview of previous...

Process mining as first-order classification learning on logs with negative events (2007)

Goedertier, S., Martens, D., Baesens, B., Haesen, R., Vanthienen, J.

Specifying process-aware access control rules in SBVR (2007)

Goedertier, S., Mues, C., Vanthienen, J.

Access control is an important aspect of regulatory compliance. Therefore, access control specifications must be process-aware in that they can refer to an underlying business process context, but do...

Forecasting and analyzing insurance companies' ratings (2007)

Van Gestel, T., Martens, D., Baesens, B., Feremans, D., Huysmans, J., Vanthienen, J.

Insurance companies sell protection to policy holders against many types of risks: property damage or loss, health and casualties, financial losses, etc. In return for this risk protection, insurance...

An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules (2007)

Mues, C., Huysmans, J., Baesens, B., Vanthienen, J.

While data mining research has largely focused on developing ever more accurate predictive models, a much smaller body of research has investigated to which extent these models are actually...

Specifying process-aware access control rules in SBVR (2007)

Goedertier, S., Mues, C., Vanthienen, J.

The paper points out that the SBVR is suitable for defining process-aware access control rules, but to date there exists no SBVR vocabulary with process related concepts such as agents, activities...

Process mining as first-order classification learning on logs with negative events (2007)

Goedertier, S., Martens, D., Baesens, B., Haesen, R., Vanthienen, J.

Comprehensible credit-scoring knowledge visualization using decision tables and diagrams (2006)

Mues, C., Baesens, B., Huysmans, J., Vanthienen, J.

The sixth International Conference on Enterprise Information Systems (ICEIS) held in Porto in 2004, brought together researchers, engineers and practitioners interested in the advances and business...

Country corruption analysis with self organizing maps and support vector machines (2006)

Huysmans, J., Martens, D., Baesens, B., Vanthienen, J., Van Gestel, T.

During recent years, the empirical research on corruption has grown considerably. Possible links between government corruption and terrorism have attracted an increasing interest in this research...

Experiences with Modeling and Verification of Regulations (2006)

Vanthienen, J., Goedertier, S., Mues, C.

Building acceptable classifiers with ants (2006)

Martens, D., Baesens, B., Mues, C., Shahi, R., Vanthienen, J.

Ant-based approach to the knowledge fusion problem (2006)

Martens, D., De Backer, M., Haesen, R., Baesens, B., Mues, C., Vanthienen, J.

ITER: an algorithm for Predictive Regression Rule extraction (2006)

The use of knowledge discovery techniques for behavioural ccoring (2005)

Meeus, N., Huysmans, J., Baesens, B., Vanthienen, J., Vandebroek, M.

Neural network survival analysis for personal loan data (2005)

BAESENS, B, VAN GESTEL, T, STEPANOVA, M, Van Den Poel, Dirk, VANTHIENEN, J

The influence of caching on web usage mining (2004)

Comprehensible Credit-Scoring Knowledge Visualization using Decision Tables and Diagrams (2004)

Mues, C., Baesens, B., Huysmans, J., Vanthienen, J.

Web Usage Mining with Time Constrained Association Rules (2004)

Huysmans, J., Baesens, B., Mues, C., Vanthienen, J.

Decision diagrams in machine learning (2004)

Mues, C., Baesens, B., Files, C.M., Vanthienen, J.

Web usage mining: a practical study (2004)

Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers (2004)

BAESENS, B, Verstraeten, Geert, Van Den Poel, Dirk, EGMONT-PETERSEN, M, Van Kenhove, Patrick, VANTHIENEN, J

Building intelligent credit scoring systems using decision tables (2003)

Baesens, B., Mues, C., Setiono, R., De Backer, M., Vanthienen, J.

Benchmarking state-of-the-art classification algorithms for credit scoring (2003)

Baesens, B., Van Gestel, T., Viaene, S., Stepanova, M., Suykens, J., Vanthienen, J.

In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the data sets originate from major Benelux...

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing (2003)

Viaene, S., Baesens, B., Dedene, G., Vanthienen, J.

Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search (2002)

Baesens, B., Egmont-Petersen, M., Castelo, Robert, Vanthienen, J.

Comparing a Genetic Fuzzy and a Neurofuzzy Classifier for Credit Scoring (2002)

Hoffmann, F., Baesens, B., Martens, J., Put, F., Vanthienen, J.

In this paper, we evaluate and contrast two types of fuzzy classifiers for credit scoring. The first classifier uses evolutionary optimization and boosting for learning fuzzy classification rules....

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing (2002)

Viaene, S., Dedene, G., Baesens, B., Vanthienen, J.

Learning bayesian network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search (2002)

Baesens, B., Egmont-Petersen, M., Castelo, R., Vanthienen, J.

Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring (2002)

Hoffman, F., Baesens, B., Martens, J., Put, F., Vanthienen, J.

In this paper, we evaluate and contrast two types of fuzzy classifiers for credit scoring. The first classifier uses evolutionary optimization and boosting for learning fuzzy classification rules....

Using machine learning techniques to predict defection of top clients (2002)

Buckinx, W., Baesens, B., Van Kenhove, P., Vanthienen, J.

Targeting long-life customers: towards a segmented CRM approach (2002)

Verstraeten, G., Baesens, B., Egmont-Petersen, M., Van Kenhove, P., Vanthienen, J.

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing (2002)

Viaene, S., Baesens, B., Poel, D. Van Den, Dedene, G.G.M., Vanthienen, J.

Bayesian neural networks for repeat purchase modelling in direct marketing (2002)

Baesens, B., Viaene, S., Poel, D. Van Den, Vanthienen, J., Dedene, G.G.M.

Bayesian neural network learning for repeat purchase modelling in direct marketing. (2002)

BAESENS, B, VIAENE, S, Van Den Poel, Dirk, VANTHIENEN, J, DEDENE, G

Using Machine Learning Techniques to Predict Defection of Top Clients. (2002)

Buckinx, Wouter, BAESENS, B, Van Den Poel, Dirk, Van Kenhove, Patrick, VANTHIENEN, J

Targeting Long-Life Customers: Towards a Segmented CRM Approach (2002)

Verstraeten, Geert, BAESENS, B, Van Den Poel, Dirk, EGMONT-PETERSEN, M, Van Kenhove, Patrick, VANTHIENEN, J

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing (2002)

VIAENE, S, BAESENS, B, DEDENE, G, VANTHIENEN, J, Van Den Poel, Dirk

Using machine learning techniques to predict defection of top clients (2002)

Buckinx, Wouter, BAESENS, B, Van Den Poel, Dirk, Van Kenhove, Patrick, VANTHIENEN, J

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing (2002)

VIAENE, S, BAESENS, B, DEDENE, G, VANTHIENEN, J, Van Den Poel, Dirk

Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search (2002)

Monte Carlo Search, B. Baesens, M. Egmont-petersen, R. Castelo, J. Vanthienen

In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and contrasted including...

Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search (2001)

Baesens, B., Egmont-Petersen, M., Castelo, R., Vanthienen, J.

In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and contrasted including...

Integrating verification aspects into the modelling of KBS: an example using decision tables (2001)

Vanthienen, J., Mues, C., Aerts, A.

Building intelligent credit-risk evaluation systems using neural network rule extraction and decision tables (2001)

Baesens, B., Setiono, R., Mues, C., Viaene, S., Vanthienen, J.

Table of contents Neo-classical reengeneering: Returning to the promise of process in the post-Internet economy M. De Kegel and M. McDonald Towards an integrative framework for software architecture...

Knowledge discovery in a direct marketing case using least square support vector machines (2001)

Viaene, S., Baesens, B., Van Gestel, T., Suykens, J.A.K., Vanthienen, J., ...

Building credit-risk evaluation expert systems using neural network rule extraction and decision tables (2001)

Baesens, B., Setiono, R., Mues, C., Viaene, S., Vanthienen, J.

A comparative study of state of the art classification algorithms for credit scoring (2001)

Baesens, B., Viaene, S., Vanthienen, J.

Neural network rule extraction for credit scoring (2001)

Baesens, B., Setiono, R., De Lille, V., Viaene, S., Vanthienen, J.

The Bayesian evidence framework for database marketing modelling using both RFM and Non-RFM predictors (2001)

Viaene, S., Baesens, B., Vanthienen, J., Dedene, G.

The Bayesian Evidence Framework For Database Marketing Modeling Using Both RFM And Non-RFM Predictors (2001)

Viane, S., Baesens, B., Poel, D. Van Den, Vanthienen, J., Dedene, G.G.M.

Wrapped Feature Selection For Neural Networks In Direct Marketing (2001)

Viane, S., Baesens, B., Poel, D. Van Den, Dedene, G.G.M., Vanthienen, J.

Knowledge Discovery In A Direct Marketing Case Using Least Squares Support Vector Machines (2001)

Viane, S., Baesens, B., Gestel, T. Van, Suykens, J., Poel, D. Van Den, Vanthienen, J., ...

The Bayesian Evidence Framework for Database Marketing Modeling using both RFM and Non-RFM Predictors. (2001)

VIAENE, S, BAESENS, B, Van Den Poel, Dirk, VANTHIENEN, J, DEDENE, G

Knowledge discovery in a direct marketing case using least squares support vector machines. (2001)

VIAENE, S, BAESENS, B, VAN GESTEL, T, SUYKENS, J, Van Den Poel, Dirk, VANTHIENEN, J, ...

Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. (2001)

VIAENE, S, BAESENS, B, Van Den Poel, Dirk, DEDENE, G, VANTHIENEN, J

An empirical assessment of kernel type performance for least squares support vector machine classifiers (2000)

Baesens, B., Viaene, S., Van Gestel, T., Suykens, J.A.K., Dedene, G., De Moor, B., ...

An initial approach to wrapped input selection using least squares support vector machine classifiers: some empirical results (2000)

Baesens, B., Viaene, S., Van Gestel, T., Suykens, J.A.K., Dedene, G., De Moor, B., ...

Wrapped feature selection by means of guided neural network optimisation (2000)

Baesens, B., Viaene, S., Vanthienen, J., Dedene, G.

In this paper, we discuss the implementation of a wrapped neural network feature selection approach, introduced here as the Weight Cascaded Retraining (WCR) algorithm. The first part of the paper...

Knowledge discovery using least squares support vector machine classifiers: a direct marketing case (2000)

Viaene, S., Baesens, B., Van Gestel, T., Suykens, J.A.K., Vanthienen, J., ...

The case involves the detection and qualification of the most relevant predictors for repeat-purchase modelling in a direct marketing setting. Analysis is based on a wrapped form of feature selection...

Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application (2000)

Viaene, S., Baesens, B., Dedene, G., Vanthienen, J.

Sensitivity based pruning of input variables by means of weight cascaded retraining (2000)

Viaene, S., Baesens, B., Dedene, G., Vanthienen, J., Vandenbulcke, J.

Post-processing of association rules (2000)

Baesens, B., Viaene, S., Vanthienen, J.

Post-processing of association rules (2000)

Baesens, B., Viaene, S., Vanthienen, J.

A synthesis of fuzzy rule-based system verification (2000)

Viaene, S, Vanthienen, J, WETS, Geert

The verification of fuzzy rule bases for anomalies has received increasing attention these last few years. Many different approaches have been suggested and many are still under investigation. In...

Knowledge Dicovery using Least Squares Support Vector Machine Classifiers: a Direct Marketing Case (2000)

Viaene, S., Baesens, B., Gestel, T. Van, Suykens, J., Poel, P. Van Den, Vanthienen, J., ...

Wrapped Feature Selection by means of Guided Neural Network Optimisation (2000)

Baesens, B., Viaene, S., Vanthienen, J., Dedene, G.

An Empirical Assessment of Kernel Type Performance for Least Squares Support VEctor Machine Classifiers (2000)

Baesens, B., Viaene, S., Gestel, T. Van, Suykens, J., Dedene, G., Moor, B. De, ...

An initial comparison of a fuzzy neural network classifier and a decision tree based classifier (2000)

WETS, Geert, Martens, J., Vanthienen, J., Mues, C.

A synthesis of fuzzy rule-based system verification (2000)

Viaene, S, Vanthienen, J, WETS, Geert

The verification of fuzzy rule bases for anomalies has received increasing attention these last few years. Many different approaches have been suggested and many are still under investigation. In...

An initial comparison of a fuzzy neural network classifier and a decision tree based classifier (2000)

WETS, Geert, Martens, J., Vanthienen, J., Mues, C.

Knowledge Discovery using least squares support vector machine classifiers: a direct marketing case (2000)

BAESENS, B, VIAENE, S, VAN GESTEL, T, SUYKENS, JAK, Van Den Poel, Dirk, VANTHIENEN, J, ...

Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application (2000)

VIAENE, S, BAESENS, B, Van Den Poel, Dirk, DEDENE, G, VANDENBULCKE, J, VANTHIENEN, J

A comparison of techniques to model decision tables from data (1999)

Wets, G., Mues, C., Vanthienen, J.

A comparison of techniques to model decision tables from data (1999)

WETS, Geert, Mues, C., Vanthienen, J.

Intelligente bedrijfsvoering door kennisontdekkingsproces (1999)

A comparison of techniques to model decision tables from data (1999)

WETS, Geert, Mues, C., Vanthienen, J.

Intelligente bedrijfsvoering door kennisontdekkingsproces (1999)

Het ontwikkelen van een fuzzy kennissysteem voor de evaluatie van vestigingsfactoren voor petrochemische bedrijven (1999)

VANTHIENEN, J, WETS, G, Witlox, Frank

A tool-supported approach to inter-tabular verification (1998)

Vanthienen, J., Mues, C., Wets, G., Delaere, K.

The use of decision tables to verify knowledge based systems (KBS) has been advocated several times in the validation and verification (V&V) literature. However, one of the main drawbacks of these...

An illustration of verification and validation in the modelling phase of KBS development (1998)

Vanthienen, J., Mues, C., Aerts, A.

Reliability has become a key factor in KBS development. For this reason, it has been suggested that verification and validation (V&V) should become an integrated part of activities throughout the...

Extracting complete and consistent knowledge patterns from data (1998)

Wets, G., Vanthienen, J., Mues, C., Timmermans, H.

In this paper, it is shown how extracted patterns from data can be verified using decision tables (DTs). It is demonstrated how a complete and consistent decision table can be automatically modelled...

A tool-supported approach to inter-tabular verification (1998)

Vanthienen, J., Mues, C., Wets, G., Delaere, K.

An initial comparison of a fuzzy neural network classifier and a decision tree based classifier (1998)

Martens, J., Wets, G., Vanthienen, J., Mues, C.

A tool-supported approach to inter-tabular verification (1998)

WETS, Geert, Vanthienen, J., Mues, C., Delaere, K.

Toegevoegde waarde door kennisontginning: van grondstof tot afgewerkt product (1998)

Extracting complete and consistent knowledge patterns from data (1998)

WETS, Geert, Vanthienen, J., Mues, C., Timmermans, H.

Modelling decision tables from data (1998)

Decision-nmaking implications of fuzzy decision tables (1998)

WETS, Geert, Deleus, F., Vanthienen, J.

A tool-supported approach to inter-tabular verification (1998)

WETS, Geert, Vanthienen, J., Mues, C., Delaere, K.

Toegevoegde waarde door kennisontginning: van grondstof tot afgewerkt product (1998)

Extracting complete and consistent knowledge patterns from data (1998)

WETS, Geert, Vanthienen, J., Mues, C., Timmermans, H.

Modelling decision tables from data (1998)

Decision-nmaking implications of fuzzy decision tables (1998)

WETS, Geert, Deleus, F., Vanthienen, J.

"Onderzoek naar de toepasbaarheid van (vage) beslissingstabellen bij de evaluatie van vestigingsfactoren bij petrochemische bedrijven in de omgeving van de Antwerpse haven (1998)

WETS, G, VANTHIENEN, J, Witlox, Frank

Inter-tabular verification in an interactive environment (1997)

Vanthienen, J., Mues, C., Wets, G.

Extending a tabular knowledge-based framework with feature selection (1997)

WETS, Geert, Vanthienen, J., Piramuthu, S.

Inter-tabular verification in an interactive environment (1997)

WETS, Geert, Vanthienen, J., Mues, C.

Beslissingstabellen in kennissystemen: het toevoegen van kennisontginning en vage concepten aan het beslissingstabellenformalisme (1997)

Extending a tabular knowledge-based framework with feature selection (1997)

WETS, Geert, Vanthienen, J., Piramuthu, S.

Inter-tabular verification in an interactive environment (1997)

WETS, Geert, Vanthienen, J., Mues, C.

Beslissingstabellen in kennissystemen: het toevoegen van kennisontginning en vage concepten aan het beslissingstabellenformalisme (1997)

Locational choice modelling using fuzzy decision tables (1996)

Wets, Geert, Witlox, F, Timmermans, HJP, Vanthienen, J

Choice modelling by means of fuzzy decision tables (1996)

Wets, Geert, Witlox, F, Timmermans, HJP, Vanthienen, J

A fuzzy decision table approach for business site selection (1996)

Wets, Geert, Witlox, F, Timmermans, HJP, Vanthienen, J

An illustration of verification and validation in the modelling phase of knowledge based systems (1996)

Vanthienen, J., Aerts, A., Mues, C.

Fuzzy decision tables: modeling and V&V issues (1996)

Incorporating fuzziness in the classical decision table formalism (1996)

Modularization of knowledge based systems (1996)

Modeling and consulting intelligent systems using the decision table fromalism (1996)

Decision table based validation and verification of a data mining experiment (1996)

Fuzzy decision tables: modeling and V&V issues (1996)

Incorporating fuzziness in the classical decision table formalism (1996)

Modularization of knowledge based systems (1996)

Modeling and consulting intelligent systems using the decision table fromalism (1996)

Decision table based validation and verification of a data mining experiment (1996)

A fuzzy decision table approach for business site selection (1996)

WETS, G, Witlox, Frank, TIMMERMANS, H, VANTHIENEN, J

Choice modeling by means of fuzzy decision tables (1996)

WETS, G, Witlox, Frank, TIMMERMANS, H, VANTHIENEN, J

Locational choice modelling using fuzzy decision tables (1996)

WETS, G, Witlox, Frank, TIMMERMANS, H, VANTHIENEN, J

Locational choice modelling using fuzzy decision tables (1996)

WETS, G, Witlox, Frank, TIMMERMANS, H, VANTHIENEN, J

A fuzzy decision table approach for business site selection (1996)

WETS, G, Witlox, Frank, TIMMERMANS, H, VANTHIENEN, J

Application independent tool support for the transition between knowledge structuring formalisms (1995)

Vanthienen, J., Wets, G., Aerts, A., Mues, C.

A modularization approach to the verification of knowledge based systems (1995)

Vanthienen, J., Mues, C., Aerts, A., Wets, G.

A modelling approach to KBS verification (1995)

Vanthienen, J., Aerts, A., Mues, C., Wets, G.

A modelling approach to knowledge based systems verification (1995)

Vanthienen, J., Aerts, A., Mues, C., Wets, G.

A modelling approach to KBS verification (1995)

Using fuzzy decision tables to build valid intelligent systems (1995)

Recent advances in the development and consultation of knowledge based systems using decision tables (1995)

Fuzzy decision tables: extending the classical formalism to enhance intelligent decision making (1995)

Integration of a decision table system with a relational database environment (1995)

A modelling approach to knowledge based systems verification (1995)

Integrated modeling approach to KBS development (1995)

A modularization approach to the verification of KBSs (1995)

Representing fuzzy decision tables in a fuzzy relational database environment (1995)

A modelling approach to KBS verification (1995)

Using fuzzy decision tables to build valid intelligent systems (1995)

Recent advances in the development and consultation of knowledge based systems using decision tables (1995)

Fuzzy decision tables: extending the classical formalism to enhance intelligent decision making (1995)

Integration of a decision table system with a relational database environment (1995)

A modelling approach to knowledge based systems verification (1995)

Integrated modeling approach to KBS development (1995)

A modularization approach to the verification of KBSs (1995)

Representing fuzzy decision tables in a fuzzy relational database environment (1995)