Koen Vanhoof

Collateral, relationship lending and family firms (2008)

In this article, the authors illustrate how generated uninorms can be interpreted as a multi-criteria comparative evaluation model. This model comprises three steps, which are discussed in a generic...

Allocating Internal Audit Resources for Fraud Risk Reduction (2008)

Prior research suggested that relationship lending could play a role in solving asymmetric information problems between borrower and lender. Other studies suggest a relationship between family...

A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes (2008)

Corporate fraud these days represents a huge cost to our economy. To counter this cost, organizations allocate lots of resources in terms of internal audit. Mostly, these audits are performed at a...

Internal Fraud Risk Reduction: Results of a Data Mining Case Study (2008)

Fraud is a million dollar business and it is increasing every year. Both internal and external fraud present a substantial cost to our economy worldwide. A review of the academic literature learns...

Internal Fraud Risk Reduction: Results of a Data Mining Case Study (2008)

Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against fraud. All this research...

Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study (2008)

Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against fraud. All this research...

Internal Fraud Risk Reduction: Results of a Data Mining Case Study (2008)

Corporate fraud these days represents a huge cost to our economy. Academic literature merely concentrates on the fight against external fraud, while internal fraud also presents a huge cost to our...

Traffic accident segmentation by means of latent class clustering (2008)

Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against fraud. All this research...

DEPAIRE, Benoit, WETS, Geert, VANHOOF, Koen

Traffic accident data are often heterogeneous, which can cause certain relationships to remain hidden. Therefore, traffic accident analysis is often performed on a small subset of traffic accidents...

Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering (2008)

Falcón, Rafael, DEPAIRE, Benoit, VANHOOF, Koen, Abraham, Ajith

This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, the emphasis lies in...

PSO Driven Collaborative Clustering: a Clustering Algorithm for Ubiquitous Environments (2008)

DEPAIRE, Benoit, Falcón, Rafael, VANHOOF, Koen, WETS, Geert

The goal of this article is to introduce two existing clustering approaches into the domain of ubiquitous knowledge discovery. First we demonstrate how horizontal collaborative clustering can be...

ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers (2008)

Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study (2008)

This article introduces ARUBAS, a new framework to build associative classifiers. In contrast with many existing associative classifiers, it uses class association rules to transform the feature...

Evaluation of road safety performance indicators using OWA operators (2008)

Corporate fraud these days represents a huge cost to our economy. Academic literature merely concentrates on the fight against external fraud, while internal fraud also represents a huge cost to our...

HERMANS, Elke, RUAN, Da, BRIJS, Tom, WETS, Geert, VANHOOF, Koen

Road safety performance indicators have recently been proposed as a useful instrument in comparing countries on their performance of road safety risk factors. New insights can be gained in case one...

Knowledge management and e-learning in professional development (2008)

SAMMOUR, George, SCHREURS, Jeanne, Al-Zoubi, A.Y., VANHOOF, Koen

The rapidly growing use of technology in education is changing the way in which knowledge is produced, stored and distributed. Online education has already been accepted as the way of the future,...

Knowledge management and e-learning in professional development (2008)

SAMMOUR, George, SCHREURS, Jeanne, Al-Zoubi, A.Y., VANHOOF, Koen

The rapidly growing use of technology in education is changing the way in which knowledge is produced, stored and distributed. Online education has already been accepted as the way of the future,...

ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers (2008)

VANHOOF, Koen, WETS, Geert

This article introduces ARUBAS, a new framework to build associative classifiers. In contrast with many existing associative classifiers, it uses class association rules to transform the feature...

PSO driven collaborative clustering: A clustering algorithm for ubiqutious environments (2008)

DEPAIRE, Benoit, Falcon, R., VANHOOF, Koen, WETS, Geert

The goal of this article is to introduce two existing clustering approaches into the domain of ubiquitous knowledge discovery. First we demonstrate how horizontal collaborative clustering can be...

Research challenges in ubiquitous knowledge discovery (2008)

May, Michael, Cornuejols, A, Gama, Joao, Giannotti, Fosca, Hotho, Andreas, ...

and G.Wets. Evaluating the performance of cost-based discretization versus entropyand error-based discretization (2007)

Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets

Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretization as a...

Geurts, Wets, Brijs and Vanhoof 1 * corresponding author PROFILING HIGH FREQUENCY ACCIDENT LOCATIONS USING ASSOCIATION RULES (2007)

Karolien Geurts, Geert Wets, Tom Brijs, Koen Vanhoof

In Belgium, traffic safety is currently one of the government’s highest priorities. Identifying and profiling black spots and black zones in terms of accident related data and location...

Janssens, Wets, Brijs, Vanhoof and Timmermans 1 * corresponding author Identifying Behavioral Principles underlying Activity Patterns by means of Bayesian Networks (2007)

Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof, Harry Timmermans

Capturing behavioral principles within the context of activity-based travel patterns is of vital importance to build adequate transportation planning models. Of course, there is no solitarily model...

ABSTRACT Using Association Rules for Product Assortment Decisions: A Case Study (2007)

Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets

It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers. Moreover, recent...

Integrating Classification and Association Rules by proposing adaptations to the CBA Algorithm (2007)

Davy Janssens, Tom Brijs, Koen Vanhoof

In recent years, extensive research has been carried out by focusing on association rules to build more accurate classifiers. These integrated approaches mainly focus on a limited subset of...

1 (2007)

Tom Brijs, Koen Vanhoof

Abstract. Many algorithms in decision tree learning have not been designed to handle numerically-valued attributes very well. Therefore, discretization of the continuous feature space has to be...

Identifying latently dissatisfied customers and measures for dissatisfaction management Josee Bloemer (2007)

Joseâe Bloemer, Tom Brijs Gilbert, Koen Vanhoof

Customer satisfaction continues to be an important topic in the financial services industry. However, there is an increasing awareness that customer satisfaction as such is not enough. Distinguishes...

Cost Sensitive Discretization of Numeric Attributes (2007)

Tom Brijs, Koen Vanhoof

Many algorithms in decision tree learning are not designed to handle numeric valued attributes very well. Therefore, discretization of the continuous feature space has to be carried out. In this...

The importance of aggregation operator characteristics in marketing research (2007)

BRIJS, Kris, DEPAIRE, Benoit, VANHOOF, Koen, BRIJS, Tom, WETS, Geert

Evaluation of ordinal attributes at value level (2007)

Robnik-Sikonja, Marko, VANHOOF, Koen

We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes' and class' values and provides a separate score...

The importance of aggregation operator characteristics in marketing research (2007)

BRIJS, Kris, DEPAIRE, Benoit, VANHOOF, Koen, BRIJS, Tom, WETS, Geert

Evaluation of ordinal attributes at value level (2007)

Robnik-Sikonja, Marko, VANHOOF, Koen

We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes' and class' values and provides a separate score...

Collateral, relationship lending and family firms (2007)

Data Mining for Fraud Detection: Toward an Improvement on Internal Control Systems? (2007)

Prior research suggested that relationship lending could play a role in solving asymmetric information problems between borrower and lender. Other studies suggest a relationship between family...

The importance of aggregation operator characteristics in marketing research (2007)

Fraud is a million dollar business and it's increasing every year. The numbers are shocking, all the more because over one third of all frauds are detected by 'chance' means. The second best...

BRIJS, Kris, DEPAIRE, Benoit, VANHOOF, Koen, BRIJS, Tom, WETS, Geert

Our paper demonstrates that aggregation operator characteristics count as a promising avenue for applied fuzzy set research. It is shown by means of two cases that these characteristics are...

The development of a segmentation scheme for the evaluation and prediction of activity-travel sequences (2007)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Expectation-Performance compatibility in a Customer Satisfactoin Context Modelled by Means of Aggregation Operators (2007)

Analysing success criteria for ict projects (2006)

In this article, we investigate the role of the customer's expectation in relation to the customer's post-purchase intentions, such as recommendation and loyalty. We hypothesize that the degree of...

Milis, K., VANHOOF, Koen

Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in evaluating the success...

Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. (2006)

BRIJS, Kris, VANHOOF, Koen, BRIJS, Tom, Karlis, D.

Several researchers on country-of-origin (coo) have expressed their interest in knowing how consumers’ emotional reactions toward coo-cues affect product attitude formation. This paper shows how...

A Knowledge Discovery Method to Predict the Economical Sustainability of a Company (2006)

DE VOS, Daniella, Van Landeghem, H., VANHOOF, Koen

In this paper we are building a prototype of a machine-learning system using an inductive supervised approach to predict the logistical performance of a company. Focus lies on the learning phase, the...

Managerial Opportunities of Uninorm based Importance-Performance Analysis (2006)

Ranking and selecting dangerous crash locations: Correcting for the number of passengers and Bayesian ranking plots (2006)

In the field of marketing, Importance-Performance Analysis is a useful technique for evaluating the elements of a marketing program. The importance dimension of this technique is often determined in...

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Karlis, D.

Introduction: In this paper a sensitivity analysis is performed to investigate how big the impact would be on the current ranking of crash locations in Flanders (Belgium) when only taking into...

Evaluating the performance of cost-based discretization versus entropy- and error-based discretization (2006)

JANSSEN, Daniel, BRIJS, Tom, VANHOOF, Koen, WETS, Geert

Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretization as a...

Integrating Bayesian networks and decision trees in a sequential rule-based transportation model (2006)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Arentze, T., TIMMERMANS, Harry

Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to...

Using sensitivity as a method for ranking the test cases classified by binary decision trees (2006)

Noblesse, S., VANHOOF, Koen

Usually, data mining projects that are based on decision trees for classifying test cases will use the probabilities provided by these decision trees for ranking classified test cases. We have a need...

Interpreting Logistical Performances using Trellis displays (2006)

DE VOS, Daniella, VANHOOF, Koen, Van Landeghem, H

For the past two years we are working on benchmarking performance data to explore the potential value of knowledge discovery methods in databases for information access. Many of these data are still...

The Application of Uninorms in Importance-Performance Analysis (2006)

Analysing success criteria for ict projects (2006)

In the field of marketing, Importance-Performance Analysis is a useful technique for evaluating the elements of a marketing program. The importance dimension of this technique is often determined in...

MILIS, Koen, VANHOOF, Koen

Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in evaluating the success...

Using Fuzzy Set Theory to Assess Country-of-Origin Effects on the Formation of Product Attitude. (2006)

BRIJS, Kris, VANHOOF, Koen, BRIJS, Tom, KARLIS, Dimitris

Several researchers on country-of-origin (coo) have expressed their interest in knowing how consumers’ emotional reactions toward coo-cues affect product attitude formation. This paper shows how...

A Knowledge Discovery Method to Predict the Economical Sustainability of a Company (2006)

DE VOS, Daniella, Van Landeghem, H., VANHOOF, Koen

In this paper we are building a prototype of a machine-learning system using an inductive supervised approach to predict the logistical performance of a company. Focus lies on the learning phase, the...

Managerial Opportunities of Uninorm based Importance-Performance Analysis (2006)

Ranking and selecting dangerous crash locations: Correcting for the number of passengers and Bayesian ranking plots (2006)

In the field of marketing, Importance-Performance Analysis is a useful technique for evaluating the elements of a marketing program. The importance dimension of this technique is often determined in...

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, KARLIS, Dimitris

Introduction: In this paper a sensitivity analysis is performed to investigate how big the impact would be on the current ranking of crash locations in Flanders (Belgium) when only taking into...

Evaluating the performance of cost-based discretization versus entropy- and error-based discretization (2006)

JANSSENS, Davy, BRIJS, Tom, VANHOOF, Koen, WETS, Geert

Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretization as a...

Integrating Bayesian networks and decision trees in a sequential rule-based transportation model (2006)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Arentze, T., TIMMERMANS, Harry

Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to...

Using sensitivity as a method for ranking the test cases classified by binary decision trees (2006)

NOBLESSE, Sabrina, VANHOOF, Koen

Usually, data mining projects that are based on decision trees for classifying test cases will use the probabilities provided by these decision trees for ranking classified test cases. We have a need...

Data Mining for Fraud Detection: Toward an Improvement on Internal Control Systems? (2006)

Adapting the CBA algorithm by means of intensity of implication (2005)

Fraud is a million dollar business and it's increasing every year. The numbers are shocking, all the more because over one third of all frauds are detected by 'chance' means. The second best...

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In recent years, extensive research has been carried out by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of...

The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research (2005)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

This paper has developed and evaluated the implementation of an adapted Markov Chain modelling heuristic and simulation framework in the context of transportation research. In order to gain insight...

Discovering interesting navigations on a web site using SAM (2005)

Analysis of company growth data using genetic algorithms on binary trees (2005)

In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM(I)) is illustrated for mining navigation patterns on a web site. Through log file...

JANSSENS, Gerrit, Sorensen, K, LIMERE, Arthur, VANHOOF, Koen

This paper investigates why some companies grow faster than others, by data mining a survey of a large number of companies in Flanders (the northern part of Belgium). Faster or slower average growth...

Using an adapted classification based on associations algorithm in an activity-based transportation system (2005)

Janssens, D., WETS, Geert, BRIJS, Tom, VANHOOF, Koen

A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of...

Simulating daily activity patterns throught the identification of sequential dependencies (2005)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Penalty-reward analysis with uninorms: a study of customer (dis)satisfaction (2005)

VANHOOF, Koen, PAUWELS, Pieter, Dombi, J., BRIJS, Tom, WETS, Geert

The determinants of collateral: a decision tree analysis of SME loans (2005)

Inductive development of customer E-loyalty theory with Bayesian networks (2005)

JARONSKI, Waldemar, VANHOOF, Koen, BLOEMER, Johanna

Ranking and selecting dangerous accident locations: case study (2005)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Improving the performance of a multi-agent rule-based model for activity pattern decisions using Bayesian networks (2005)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D., Timmermans, H., Arentze, T.A.

Adapting the CBA algorithm by means of intensity of implication (2005)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In recent years, extensive research has been carried out by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of...

The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation research (2005)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

This paper has developed and evaluated the implementation of an adapted Markov Chain modelling heuristic and simulation framework in the context of transportation research. In order to gain insight...

Discovering interesting navigations on a web site using SAM (2005)

Analysis of company growth data using genetic algorithms on binary trees (2005)

In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM(I)) is illustrated for mining navigation patterns on a web site. Through log file...

JANSSENS, Gerrit, Sorensen, K, LIMERE, Arthur, VANHOOF, Koen

This paper investigates why some companies grow faster than others, by data mining a survey of a large number of companies in Flanders (the northern part of Belgium). Faster or slower average growth...

Using an adapted classification based on associations algorithm in an activity-based transportation system (2005)

Janssens, D., WETS, Geert, BRIJS, Tom, VANHOOF, Koen

A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of...

Simulating daily activity patterns throught the identification of sequential dependencies (2005)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Penalty-reward analysis with uninorms: a study of customer (dis)satisfaction (2005)

VANHOOF, Koen, PAUWELS, Pieter, Dombi, J., BRIJS, Tom, WETS, Geert

The determinants of collateral: a decision tree analysis of SME loans (2005)

Inductive development of customer E-loyalty theory with Bayesian networks (2005)

JARONSKI, Waldemar, VANHOOF, Koen, BLOEMER, Johanna

Ranking and selecting dangerous accident locations: case study (2005)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Improving the performance of a multi-agent rule-based model for activity pattern decisions using Bayesian networks (2005)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D., Timmermans, H., Arentze, T.A.

The determinants of collateral: a decision tree analysis of SME loans (2005)

Penalty-reward analysis with unicorns: A study of customer (dis)satisfaction (2005)

Previous empirical research has devoted little effort on the role and determinants of business collateral and personal commitments in the credit acquisition process, even though this is a common...

Vanhoof, Koen, Pauwels, Pieter, Dombi, Joszef, Brijs, Tom, Wets, Geert

Mining navigation patterns using a sequence alignment method (2004)

Hay, B, WETS, Geert, VANHOOF, Koen

In this article, a new method is illustrated for mining navigation patterns on a web site. Instead of clustering patterns by means of a Euclidean distance measure, in this approach users are...

A multivariate Poisson mixture model for marketing applications (2004)

Manchanda, P, BRIJS, Tom, KARLIS, Dimitris, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

This paper describes a multivariate Poisson mixture model for clustering supermarket shoppers based on their purchase frequency in a set of product categories. The multivariate nature of the model...

Bankruptcy prediction using a data envelopment analysis (2004)

CIELEN, Agnes, PEETERS, Ludo, VANHOOF, Koen

There is a growing recognition that a variety of machine learning problems can be approached advantageously by tools from the field of optimization. In this paper we compare the classification...

Building an association rules framework to improve product assortment decisions (2004)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

It has been claimed that the discovery of association rules is well suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers. However today, one...

Improving performance of multiagent rule-based model for activity pattern decisions with Bayesian networks (2004)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, TIMMERMANS, Harry, Arentze, T

Several activity-based models are now becoming operational and are entering the stage of application in transport planning. Some of these models use a set of decision trees to support decision making...

Identification and ranking of black spots - Sensitivity analysis (2004)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In Flanders, Belgium, approximately 1,014 accident locations are considered dangerous. These dangerous accident sites, or black spots, are selected by means of historic accident records for the...

Applying Bayesian networks in practical customer satisfaction studies (2004)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

A classification model for firm growth on the basis of ambitions, external potential and resources by means of decision tree induction (2004)

LIMÈRE, Arthur, LAVEREN, Eddy, VANHOOF, Koen

Collecting activity-travel diary data by means of a new computer-assisted data collection tool (2004)

Janssens, D., WETS, Geert, DE BEUCKELEER, Ellen, VANHOOF, Koen

Simulating activity diary data by means of sequential probability information: development and evaluation of an initial framework (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Approximating activity diary data by taking sequential dependencies into account: development of a simulation framework (2004)

Janssens, D., WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Evaluating the use of Bayesian networks in a sequential rule-based model for activity scheduling behaviour (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Ranking and selecting dangerous accident locations: correcting for the number of passengers and Bayesian ranking plots (2004)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, KARLIS, Dimitris, VANHOOF, Koen

Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study (2004)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

The simulation of activity diary data using sequential probability distributions (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Mining navigation patterns using a sequence alignment method (2004)

Hay, B, WETS, Geert, VANHOOF, Koen

In this article, a new method is illustrated for mining navigation patterns on a web site. Instead of clustering patterns by means of a Euclidean distance measure, in this approach users are...

A multivariate Poisson mixture model for marketing applications (2004)

Manchanda, P, BRIJS, Tom, KARLIS, Dimitris, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

This paper describes a multivariate Poisson mixture model for clustering supermarket shoppers based on their purchase frequency in a set of product categories. The multivariate nature of the model...

Bankruptcy prediction using a data envelopment analysis (2004)

CIELEN, Agnes, PEETERS, Ludo, VANHOOF, Koen

There is a growing recognition that a variety of machine learning problems can be approached advantageously by tools from the field of optimization. In this paper we compare the classification...

Building an association rules framework to improve product assortment decisions (2004)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

It has been claimed that the discovery of association rules is well suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers. However today, one...

Improving performance of multiagent rule-based model for activity pattern decisions with Bayesian networks (2004)

JANSSENS, Davy, WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Arentze, T, TIMMERMANS, Harry

Several activity-based models are now becoming operational and are entering the stage of application in transport planning. Some of these models use a set of decision trees to support decision making...

Identification and ranking of black spots - Sensitivity analysis (2004)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In Flanders, Belgium, approximately 1,014 accident locations are considered dangerous. These dangerous accident sites, or black spots, are selected by means of historic accident records for the...

Applying Bayesian networks in practical customer satisfaction studies (2004)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

A classification model for firm growth on the basis of ambitions, external potential and resources by means of decision tree induction (2004)

LIMÈRE, Arthur, LAVEREN, Eddy, VANHOOF, Koen

Collecting activity-travel diary data by means of a new computer-assisted data collection tool (2004)

Janssens, D., WETS, Geert, DE BEUCKELEER, Ellen, VANHOOF, Koen

Simulating activity diary data by means of sequential probability information: development and evaluation of an initial framework (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Approximating activity diary data by taking sequential dependencies into account: development of a simulation framework (2004)

Janssens, D., WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Evaluating the use of Bayesian networks in a sequential rule-based model for activity scheduling behaviour (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Ranking and selecting dangerous accident locations: correcting for the number of passengers and Bayesian ranking plots (2004)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, KARLIS, Dimitris, VANHOOF, Koen

Exploiting sensitivity analysis in Bayesian networks for customer satisfaction study (2004)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

The simulation of activity diary data using sequential probability distributions (2004)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Comparing complete and partial classification for identifying customers at risk (2003)

BLOEMER, Johanna, BRIJS, Tom, VANHOOF, Koen, SWINNEN, Gilbert

This paper evaluates complete versus partial classification for the problem of identifying customers at risk. We define customers at risk as customers reporting overall satisfaction, but these...

Profiling of high-frequency accident locations by use of association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In Belgium, traffic safety is one of the government's highest priorities. The identification and profiling of black spots and black zones (geographical locations with high concentrations of traffic...

Web Usage Mining by means of Multidimensional Sequence Alignment Methods (2003)

Integrating classification and association rules by proposing adaptations to CBA (2003)

In this article, a new algorithm called Multidimensional Sequence Alignment Method (MDSAM) is illustrated for mining navigation patterns on a web site. MDSAM examines sequences composed of several...

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Segmentation of visiting patterns on websites using a sequence alignment method (2003)

Identifying behavioral principles underlying activity patterns by means of Bayesian networks (2003)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

An indirect measurement for customer expectation (2003)

VANHOOF, Koen, BRIJS, Tom, WETS, Geert

Defining interestingness for association rules (2003)

Clustering and profiling traffic roads by means of accident data (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Profiling of high-frequency accident locations using association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Profiling high-frequency accident locations using association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

A classification model for firm growth on the basis of ambitions, external potential and resources by means of an inductive analysis (2003)

LIMÈRE, Arthur, VANHOOF, Koen, Cleeren, K., Laveren, E.

Comparing complete and partial classification for identifying customers at risk (2003)

BLOEMER, Johanna, BRIJS, Tom, VANHOOF, Koen, SWINNEN, Gilbert

This paper evaluates complete versus partial classification for the problem of identifying customers at risk. We define customers at risk as customers reporting overall satisfaction, but these...

Profiling of high-frequency accident locations by use of association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

In Belgium, traffic safety is one of the government's highest priorities. The identification and profiling of black spots and black zones (geographical locations with high concentrations of traffic...

Web Usage Mining by means of Multidimensional Sequence Alignment Methods (2003)

Integrating classification and association rules by proposing adaptations to CBA (2003)

In this article, a new algorithm called Multidimensional Sequence Alignment Method (MDSAM) is illustrated for mining navigation patterns on a web site. MDSAM examines sequences composed of several...

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

Segmentation of visiting patterns on websites using a sequence alignment method (2003)

Identifying behavioral principles underlying activity patterns by means of Bayesian networks (2003)

WETS, Geert, BRIJS, Tom, VANHOOF, Koen, Janssens, D.

An indirect measurement for customer expectation (2003)

VANHOOF, Koen, BRIJS, Tom, WETS, Geert

Defining interestingness for association rules (2003)

Clustering and profiling traffic roads by means of accident data (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Profiling of high-frequency accident locations using association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Profiling high-frequency accident locations using association rules (2003)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

A classification model for firm growth on the basis of ambitions, external potential and resources by means of an inductive analysis (2003)

LIMÈRE, Arthur, VANHOOF, Koen, Cleeren, K., Laveren, E.

Stationary and time-varying patterns in activity diary panel data - Explorative analysis with association rules (2002)

KEULEERS, Bertold, WETS, Geert, TIMMERMANS, Harry, VANHOOF, Koen, Arentze, T

The question of identifying temporal patterns in activity diary data has received only scant attention in the transportation literature, but interest is rapidly increasing. Most of the existing...

The role of Occam's razor in activity based modeling (2002)

MOONS, Elke, WETS, Geert, AERTS, Marc, AERTS, Marc, VANHOOF, Koen

Multidimensional sequence alignment methods: discovering navigation patterns on websites presenting page- and time information (2002)

The use of rule-based knowledge discovery techniques to profile black spots (2002)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Identifying latently dissatisfied customers and measures for dissatisfaction management (2002)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Tuning the multivariate Poisson mixture model for clustering supermarket shoppers (2002)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert, Karlis, D.

The Impact of Irrelevant Attributes on the Performance of Classifier Systems in Generating Activity Schedules (2002)

MOONS, Elke, WETS, Geert, AERTS, Marc, VANHOOF, Koen, TIMMERMANS, Harry

Stationary and time-varying patterns in activity diary panel data - Explorative analysis with association rules (2002)

KEULEERS, Bertold, WETS, Geert, TIMMERMANS, Harry, VANHOOF, Koen, Arentze, T

The question of identifying temporal patterns in activity diary data has received only scant attention in the transportation literature, but interest is rapidly increasing. Most of the existing...

The role of Occam's razor in activity based modeling (2002)

MOONS, Elke, WETS, Geert, AERTS, Marc, AERTS, Marc, VANHOOF, Koen

Multidimensional sequence alignment methods: discovering navigation patterns on websites presenting page- and time information (2002)

The use of rule-based knowledge discovery techniques to profile black spots (2002)

GEURTS, Karolien, WETS, Geert, BRIJS, Tom, VANHOOF, Koen

Identifying latently dissatisfied customers and measures for dissatisfaction management (2002)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Tuning the multivariate Poisson mixture model for clustering supermarket shoppers (2002)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert, Karlis, D.

A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model (2001)

Brijs, Tom, Goethals, Bart, Swinnen, Gilbert, Vanhoof, Koen, Wets, Geert

In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules...

Gaining insight into characteristics of online audiences with new approaches (2001)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

The use of characteristic rules for identifying latently dissatisfied customers (2001)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Combining sequential patterns and association rules for use in e-shop design (2001)

JARONSKI, Waldemar, VANHOOF, Koen, BRIJS, Tom

Clustering navigation patterns on a website using a sequence alignment method (2001)

HAY, Birgitte, VANHOOF, Koen, WETS, Geert

Use of Bayesian belief networks to help understand online audience (2001)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

A position and page-sensitive sequence alignment method illustrated for visiting patterns within websites (2001)

Using shopping baskets to cluster supermarket customers (2001)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

How well perform very simple rules on activity diary data? (2001)

MOONS, Elke, WETS, Geert, VANHOOF, Koen, AERTS, Marc, AERTS, Marc, Timmermans, H.

Web usage mining on proxy servers: a case study (2001)

VANHOOF, Koen, Kerkhofs, J., Pannemans, D.

Gaining insight into characteristics of online audiences with new approaches (2001)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

The use of characteristic rules for identifying latently dissatisfied customers (2001)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Combining sequential patterns and association rules for use in e-shop design (2001)

JARONSKI, Waldemar, VANHOOF, Koen, BRIJS, Tom

Clustering navigation patterns on a website using a sequence alignment method (2001)

HAY, Birgitte, VANHOOF, Koen, WETS, Geert

Use of Bayesian belief networks to help understand online audience (2001)

JARONSKI, Waldemar, BLOEMER, Johanna, VANHOOF, Koen, WETS, Geert

A position and page-sensitive sequence alignment method illustrated for visiting patterns within websites (2001)

Using shopping baskets to cluster supermarket customers (2001)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

How well perform very simple rules on activity diary data? (2001)

MOONS, Elke, WETS, Geert, VANHOOF, Koen, AERTS, Marc, AERTS, Marc, Timmermans, H.

Web usage mining on proxy servers: a case study (2001)

VANHOOF, Koen, Kerkhofs, J., Pannemans, D.

Web Usage Mining on Proxy Servers: A Case Study (2001)

Jan Kerkhofs, Prof Dr, Koen Vanhoof, Danny Pannemans

Web Usage Mining is an aspect of data mining that has received a lot of attention in recent years. Commercial companies as well as academic researchers have developed an extensive array of tools that...

Clustering navigation patterns on a Website using a sequence alignment method (2001)

Birgit Hay, Geert Wets, Koen Vanhoof

In this paper, a new method is illustrated to cluster navigation patterns on a website. Instead of clustering users by means of a Euclidean distance measure, in our approach users are partitioned...

Using shopping baskets to cluster supermarket customers (2001)

Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets

Abstract. Today, competition forces consumer goods manufacturers and retailers to differentiate from their competitors by specializing and by offering goods/services that are tailored towards one or...

Clustering navigation patterns on a Website using a sequence alignment method (2001)

Birgit Hay, Geert Wets, Koen Vanhoof

In this paper, a new method is illustrated to cluster navigation patterns on a website. Instead of clustering users by means of a Euclidean distance measure, in our approach users are partitioned...

The improvement of response modeling: combining rule-induction and case-based reasoning (2000)

Coenen, F, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Direct mail is a typical example for response modeling to be used. In order to decide which people will receive the mailing, the potential customers are divided into two groups or classes (buyers and...

Identifying decision structures underlying activity patterns: an exploration of data mining algorithms (2000)

WETS, Geert, VANHOOF, Koen, Arentze, T., Timmermans, H.

iValuator: performance measurement of website pages (2000)

COENEN, Filip, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Representation and discovery of fuzzy association rules (FARs) (2000)

WETS, Geert, VANHOOF, Koen, Chen, G.

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

BRIJS, Tom, GOETHALS, Bart, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Reducing redundancy in characteristic rule discovery by using integer programming techniques (2000)

A framework for self adaptive websites: tactical versus strategic changes (2000)

COENEN, Filip, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Comparing complete and partial classification for identifying latently dissatisfied customers (2000)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

The improvement of response modeling: combining rule-induction and case-based reasoning (2000)

Coenen, F, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Direct mail is a typical example for response modeling to be used. In order to decide which people will receive the mailing, the potential customers are divided into two groups or classes (buyers and...

Identifying decision structures underlying activity patterns: an exploration of data mining algorithms (2000)

WETS, Geert, VANHOOF, Koen, Arentze, T., Timmermans, H.

iValuator: performance measurement of website pages (2000)

COENEN, Filip, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Representation and discovery of fuzzy association rules (FARs) (2000)

WETS, Geert, VANHOOF, Koen, Chen, G.

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

BRIJS, Tom, GOETHALS, Bart, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Reducing redundancy in characteristic rule discovery by using integer programming techniques (2000)

A framework for self adaptive websites: tactical versus strategic changes (2000)

COENEN, Filip, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Comparing complete and partial classification for identifying latently dissatisfied customers (2000)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets

In recent years, data mining researchers have developed ecient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules to...

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets

Abstract-Previous research in the field of data mining has diapers also tend to buy beer during the same shopping visit. demonstrated that the technique of association rules is very well suited to...

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets

In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules...

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets

In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules...

Reducing redundancy in characteristic rule discovery by using integer programming techniques (2000)

Tom Brijs, Koen Vanhoof, Geert Wets

The discovery of characteristic rules is a well-known data mining technique and has lead to several successful applications. Unfortunately, typically a (very) large number of rules is discovered...

A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model (2000)

Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets

In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules...

Reducing Redundancy in Characteristic Rule Discovery By Using Integer Programming Techniques (2000)

Tom Brijs, Koen Vanhoof, Geert Wets

The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic rules, typically a...

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (2000)

Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets

In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt association rules...

A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises (1999)

Lenie, K, VANHOOF, Koen, HOUBEN, Ghislain

Good performance within a company is the result of correct interaction of business management with its internal and external environment. The recognition of internal strengths and weaknesses, as well...

The use of association rules for product assortment decisions: a case study (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Reducing redundancy in characteristic rule discovery by using IP-techniques (1999)

Bankruptcy prediction using a data development analysis (1999)

CIELEN, Agnes, VANHOOF, Koen

Using association rules for product assortment decisions in automated convenience stores (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

How to take into account the business value of association rules (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises (1999)

Lenie, K, VANHOOF, Koen, HOUBEN, Ghislain

Good performance within a company is the result of correct interaction of business management with its internal and external environment. The recognition of internal strengths and weaknesses, as well...

The use of association rules for product assortment decisions: a case study (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Reducing redundancy in characteristic rule discovery by using IP-techniques (1999)

Bankruptcy prediction using a data development analysis (1999)

CIELEN, Agnes, VANHOOF, Koen

Using association rules for product assortment decisions in automated convenience stores (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

How to take into account the business value of association rules (1999)

BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen, WETS, Geert

Using association rules for product assortment decisions: A case study (1999)

Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets

Association rules is a recent data mining technique to discover affinities, in large transaction databases, between items frequently purchased together. It has been claimed that the discovery of...

Cost-sensitive discretization of numeric attributes (1998)

BRIJS, Tom, VANHOOF, Koen

Students perception of university service quality: a field study using LISREL and artificial intelligence techniques (1998)

SWINNEN, Gilbert, VANHOOF, Koen, Sanchez Perez, M.

Credit classification: a comparison of logic models and decision trees (1998)

VANHOOF, Koen, Joos, P., Sierens, N., Ooghe, Hubert

An empirical study on combining instance based and rule based classifiers (1998)

Using association rules in customer satisfaction studies to identify latent dissatisfied customers (1998)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Identifying latent dissatisfied customers using association rules in customer satisfaction studies (1998)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Cost-sensitive discretization of numeric attributes (1998)

BRIJS, Tom, VANHOOF, Koen

Students perception of university service quality: a field study using LISREL and artificial intelligence techniques (1998)

SWINNEN, Gilbert, VANHOOF, Koen, Sanchez Perez, M.

Credit classification: a comparison of logic models and decision trees (1998)

VANHOOF, Koen, Joos, P., Sierens, N., Ooghe, Hubert

An empirical study on combining instance based and rule based classifiers (1998)

Using association rules in customer satisfaction studies to identify latent dissatisfied customers (1998)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Identifying latent dissatisfied customers using association rules in customer satisfaction studies (1998)

BLOEMER, Johanna, BRIJS, Tom, SWINNEN, Gilbert, VANHOOF, Koen

Decision Support Queries for the Interpretation of Data Mining Results (1998)

Bart Goethals, Koen Vanhoof

The interpretation of data mining results is an important step in the KDD process. This paper argues that many aspects of this post-processing phase can be conveniently viewed from the perspective of...

Using fuzzy set theory to assess country-of-origin effects on te formation of product attitude (1998)

Kris Brijs, Koen Vanhoof, Tom Brijs, Dimitris Karlis

Abstract. Several researchers on country-of-origin (coo) have expressed their interest in knowing how consumers ’ emotional reactions toward coo-cues affect product attitude formation. This paper...

Comparison of some AI and statistical classification methods for a marketing case (1997)

Montgomery, D, SWINNEN, Gilbert, VANHOOF, Koen

Recent progress in data processing technology has made the accumulation and systematic organization of large volumes of data a routine activity. As a result of these developments, there is an...

Integrating rules and cases for data mining in financial databases (1997)

A case study in loyalty and satisfaction research (1997)

VANHOOF, Koen, BLOEMER, Johanna, Pauwels, K.

A comparison of some AI and statistical classification methods for a marketing case (1997)

SWINNEN, Gilbert, VANHOOF, Koen, Montgomery, D.

Comparison of some AI and statistical classification methods for a marketing case (1997)

Montgomery, D, SWINNEN, Gilbert, VANHOOF, Koen

Recent progress in data processing technology has made the accumulation and systematic organization of large volumes of data a routine activity. As a result of these developments, there is an...

Integrating rules and cases for data mining in financial databases (1997)

A case study in loyalty and satisfaction research (1997)

VANHOOF, Koen, BLOEMER, Johanna, Pauwels, K.

A comparison of some AI and statistical classification methods for a marketing case (1997)

SWINNEN, Gilbert, VANHOOF, Koen, Montgomery, D.

Helping Countries Combat Corruption: Progress at the World Bank since (1997)

Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof, Theo Arentze, ...

* corresponding author

Attribute importance: assessing nonlinear patterns of factors contributing to customer satisfaction (1996)

1 jaar gelijke-kansenbeleid in Vlaanderen (1996)

VANHERCK, Rina, VANHOOF, Koen

Combining rules and cases (1996)

Bankruptcy classification with rules and cases (1996)

Attribute importance: assessing nonlinear patterns of factors contributing to customer satisfaction (1996)

1 jaar gelijke-kansenbeleid in Vlaanderen (1996)

VANHERCK, Rina, VANHOOF, Koen

Combining rules and cases (1996)

Bankruptcy classification with rules and cases (1996)

A knowledge-based system in the travel business (1995)

MOLDEREZ, Ingrid, VANHOOF, Koen

Machine learning techniques for marketing: a case study (1995)

A new software architecture for simulation (1995)

An advice system for travel agents (1995)

VANHOOF, Koen, MOLDEREZ, Ingrid

Qualitative analysis on SME (1995)

Comparing classification methods for a marketing application (1995)

Integrating rules and cases for the classification task: case-based reasoning research and development (1995)

Comparing different measures of atribute relevance (1995)

Determining attribute importance in studying university service quality (1995)

SWINNEN, Gilbert, VANHOOF, Koen, Sanchez, M.G.

A knowledge-based system in the travel business (1995)

MOLDEREZ, Ingrid, VANHOOF, Koen

Machine learning techniques for marketing: a case study (1995)

A new software architecture for simulation (1995)

An advice system for travel agents (1995)

VANHOOF, Koen, MOLDEREZ, Ingrid

Qualitative analysis on SME (1995)

Comparing classification methods for a marketing application (1995)

Integrating rules and cases for the classification task: case-based reasoning research and development (1995)

Comparing different measures of atribute relevance (1995)