Karel Dejaeger

发表

Software Defect Prediction Based on As- sociation Rule Classification

Jan Vanthienen, Bart Baesens, Baojun Ma, 2010, ICE-B 2010.

De kosten van software-ontwikkeling voorspellen

Bart Baesens, Wouter Verbeke, David Martens, 2010 .

Rule based predictive models, decision table and tree: an empirical evaluation on comprehensibility

Bart Baesens, Jan Vanthienen, Wouter Verbeke, 2010 .

A multidimensional analysis of data quality for credit risk management: New insights and challenges

Bart Baesens, Wilfried Lemahieu, Karel Dejaeger, 2013, Inf. Manag..

Het voorspellen van software-ontwikkelkosten

Bart Baesens, Wouter Verbeke, David Martens, 2010 .

A total data quality management for credit risk: new insights and challenges

Bart Baesens, Wilfried Lemahieu, Karel Dejaeger, 2012, Int. J. Inf. Qual..

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Bart Baesens, Jan Vanthienen, Christophe Mues, 2011, Decis. Support Syst..

Comprehensible software fault and effort prediction: A data mining approach

Bart Baesens, David Martens, Enric Junqué de Fortuny, 2015, J. Syst. Softw..

Data quality for credit risk management

Bart Baesens, Wilfried Lemahieu, Karel Dejaeger, 2011, ICIQ.

Assessing Bayesian network classifiers for software defect prediction

Bart Baesens, Thomas Verbraken, Karel Dejaeger, 2012 .

Comparing classification techniques to forecast customer churn

Bart Baesens, Wouter Verbeke, Karel Dejaeger, 2010 .

Data Mining Techniques for Software Effort Estimation: A Comparative Study

Bart Baesens, Wouter Verbeke, David Martens, 2012, IEEE Transactions on Software Engineering.

Software requirements engineering: een iteratieve aanpak

Jonas Poelmans, Guido Dedene, Karel Dejaeger, 2011 .

Gaining insight into student satisfaction using comprehensible data mining techniques

Bart Baesens, Frank G. Goethals, Antonio Giangreco, 2012, Eur. J. Oper. Res..

New insights into churn prediction in the telecommunication sector: A profit driven data mining approach

Bart Baesens, Wouter Verbeke, David Martens, 2012, Eur. J. Oper. Res..

A novel approach to the evaluation and improvement of data quality in the financial sector

Bart Baesens, Jonas Poelmans, Karel Dejaeger, 2010, ICIQ.

Proceedings of the 15th International Conference on Information Quality, ICIQ 2010, Little Rock, AR, USA, November 12-14, 2010

Yuefeng Li, Ying Su, Markus Helfert, 2010, ICIQ.

Customer churn prediction: does technique matter?

Bart Baesens, Wouter Verbeke, David Martens, 2010 .

Beyond the Hype: Cloud Computing in Analytics

Bart Baesens, Seppe K. L. M. vanden Broucke, Tuomas Eerola, 2012 .

Mining social networks for customer churn prediction

Bart Baesens, Thomas Verbraken, Wouter Verbeke, 2011 .

Essays on empirical software engineering.

Karel Dejaeger, 2012 .

Cloudcomputing in analytics: de hype ontraadseld

Bart Baesens, Seppe K. L. M. vanden Broucke, Karel Dejaeger, 2013 .

Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers

Bart Baesens, Thomas Verbraken, Karel Dejaeger, 2013, IEEE Transactions on Software Engineering.

Software Effort Prediction Using Regression Rule Extraction from Neural Networks

Bart Baesens, Rudy Setiono, Wouter Verbeke, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Software Defect Prediction Based on Association Rule Classification

Jan Vanthienen, Bart Baesens, Baojun Ma, 2010 .

New Insights into Churn Prediction in the Telco Sector

Bart Baesens, Wouter Verbeke, David Martens, 2012 .

Data quality for credit risk management: new insights and challenges

Bart Baesens, Wilfried Lemahieu, Karel Dejaeger, 2011 .