< Back to previous page
Researcher
Karel Dejaeger
- Disciplines:Applied mathematics in specific fields, Artificial intelligence, Cognitive science and intelligent systems, Management, Information sciences, Information systems, Instructional sciences
Affiliations
- Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From15 Sep 2009 → 31 Dec 2015
Publications
1 - 10 of 10
- Comprehensible software fault and effort prediction: a data mining approach(2015)
Authors: Karel Dejaeger, Bart Baesens, David Martens
Pages: 80 - 90 - Towards comprehensible software fault prediction models using Bayesian network classifiers(2013)
Authors: Karel Dejaeger, Thomas Verbraken, Bart Baesens
Pages: 237 - 277 - A multidimensional analysis of data quality for credit risk management: new insights and challenges(2013)
Authors: Helen Tadesse Moges, Karel Dejaeger, Wilfried Lemahieu, Bart Baesens
Pages: 43 - 58 - Data mining techniques for software effort estimation: a comparative study(2012)
Authors: Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
Pages: 375 - 397 - A total data quality management for credit risk: new insights and challenges(2012)
Authors: Helen Tadesse Moges, Karel Dejaeger, Wilfried Lemahieu, Bart Baesens
Pages: 1 - 27 - Gaining insight into student satisfaction using comprehensible data mining techniques(2012)
Authors: Karel Dejaeger, Frank Goethals, Bart Baesens
Pages: 548 - 562 - New insights into churn prediction in the telecommunication sector: a profit driven data mining approach(2012)
Authors: Wouter Verbeke, Karel Dejaeger, David Martens, Bart Baesens
Pages: 211 - 229 - An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models(2011)
Authors: Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens
Pages: 141 - 154 - Software defect prediction based on association rule classification(2011)
Authors: Karel Dejaeger, Jan Vanthienen, Bart Baesens
Pages: 396 - +Number of pages: 2 - Software effort prediction using regression rule extraction from neural networks(2010)
Authors: Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
Pages: 45 - 52