Search results for "David Martens"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens	Data Mining Techniques for Software Effort Estimation: A Comparative Study.	IEEE Trans. Software Eng.	2012	DBLP DOI BibTeX RDF
1	Wouter Verbeke, Karel Dejaeger, David Martens, Joon Hur, Bart Baesens	New insights into churn prediction in the telecommunication sector: A profit driven data mining approach.	European Journal of Operational Research	2012	DBLP DOI BibTeX RDF
1	David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens	Performance of classification models from a user perspective.	Decision Support Systems	2011	DBLP DOI BibTeX RDF
1	Stijn Goedertier, Jochen De Weerdt, David Martens, Jan Vanthienen, Bart Baesens	Process discovery in event logs: An application in the telecom industry.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	David Martens, Christine Vanhoutte, Sophie De Winne, Bart Baesens, Luc Sels, Christophe Mues	Identifying financially successful start-up profiles with data mining.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens	Building comprehensible customer churn prediction models with advanced rule induction techniques.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada	Guest Editorial White Box Nonlinear Prediction Models.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	David Martens, Bart Baesens, Tom Fawcett	Editorial survey: swarm intelligence for data mining.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Tony Van Gestel, Bart Baesens, David Martens	From linear to non-linear kernel based classifiers for bankruptcy prediction.	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens	Credit rating prediction using Ant Colony Optimization.	JORS	2010	DBLP DOI BibTeX RDF
1	G. Castermans, David Martens, Tony Van Gestel, B. Hamers, Bart Baesens	An overview and framework for PD backtesting and benchmarking.	JORS	2010	DBLP DOI BibTeX RDF
1	David Martens, Bart Baesens	Building Acceptable Classification Models.	Data Mining	2010	DBLP DOI BibTeX RDF
1	Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens	Software Effort Prediction Using Regression Rule Extraction from Neural Networks.	ICTAI	2010	DBLP DOI BibTeX RDF
1	David Martens, Bart Baesens, Tony Van Gestel	Decompositional Rule Extraction from Support Vector Machines by Active Learning.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
1	Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens	Robust Process Discovery with Artificial Negative Events.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen	50 years of data mining and OR: upcoming trends and challenges.	JORS	2009	DBLP DOI BibTeX RDF
1	Bjorn Cumps, David Martens, Manu De Backer, Raf Haesen, Stijn Viaene, Guido Dedene, Bart Baesens, Monique Snoeck	Inferring comprehensible business/ICT alignment rules.	Information & Management	2009	DBLP DOI BibTeX RDF
1	Wouter Verbeke, Bart Baesens, David Martens, Manu De Backer, Raf Haesen	Including Domain Knowledge in Customer Churn Prediction Using AntMiner+.	Industrial Conference on Data Mining - Workshop DMM	2009	DBLP BibTeX RDF
1	David Martens, Liesbeth Bruynseels, Bart Baesens, Marleen Willekens, Jan Vanthienen	Predicting going concern opinion with data mining.	Decision Support Systems	2008	DBLP DOI BibTeX RDF
1	Olivier Vandecruys, David Martens, Bart Baesens, Christophe Mues, Manu De Backer, Raf Haesen	Mining software repositories for comprehensible software fault prediction models.	Journal of Systems and Software	2008	DBLP DOI BibTeX RDF
1	David Martens	Building acceptable classification models for financial engineering applications: thesis summary.	SIGKDD Explorations	2008	DBLP DOI BibTeX RDF
1	David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens	Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.	Rule Extraction from Support Vector Machines	2008	DBLP DOI BibTeX RDF
1	David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen	Comprehensible credit scoring models using rule extraction from support vector machines.	European Journal of Operational Research	2007	DBLP DOI BibTeX RDF
1	David Martens, Manu De Backer, Raf Haesen, Jan Vanthienen, Monique Snoeck, Bart Baesens	Classification With Ant Colony Optimization.	IEEE Trans. Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen	Process Mining as First-Order Classification Learning on Logs with Negative Events.	Business Process Management Workshops	2007	DBLP DOI BibTeX RDF
1	David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Tom Holvoet	Ants Constructing Rule-Based Classifiers.	Swarm Intelligence in Data Mining	2006	DBLP DOI BibTeX RDF
1	David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen	Ant-Based Approach to the Knowledge Fusion Problem.	ANTS Workshop	2006	DBLP DOI BibTeX RDF
1	Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel	Country Corruption Analysis with Self Organizing Maps and Support Vector Machines.	WISI	2006	DBLP DOI BibTeX RDF
1	Manu De Backer, Raf Haesen, David Martens, Bart Baesens	A Stigmergy Based Approach to Data Mining.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF

Publications of "David Martens" ( http://dblp.L3S.de/Authors/David_Martens )