Wouter Verbeke - Concepedia

Author

Wouter Verbeke

Also Known As

Baesens, Bart, Bart Baesens, De Weerdt, Jochen, Tias Guns, Verbeke, W., Verbeke, Wouter, W. Verbeke, Wouter Verbeke, Wouter Verbeke Ph.D

181

Publications

3.7K

Citations

H-Index

127

Concepts

All Affiliations

KU Leuven Vrije Universiteit Brussel University of Southampton Solvay (Belgium)University of Antwerp

About

Wouter Verbeke is an author at KU Leuven specializing in engineering, data science, and predictive analytics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	24	1.8K
2	Management	15	17	1.9K
3	Business	12	12	1.1K
4	Arts	1	1	34
5	Education	1	1	33

Wouter Verbeke

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach Wouter Verbeke, Karel Dejaeger, David Martens, European Journal of Operational Research Marketing AnalyticsTelecommunication SectorData ScienceData MiningBusiness Intelligence	2011	424
Building comprehensible customer churn prediction models with advanced rule induction techniques Wouter Verbeke, David Martens, Christophe Mues, Expert Systems with Applications Marketing AnalyticsEngineeringData ScienceData MiningBusiness Intelligence	2010	347
Data Mining Techniques for Software Effort Estimation: A Comparative Study Karel Dejaeger, Wouter Verbeke, David Martens, IEEE Transactions on Software Engineering Software MaintenanceBusiness SettingEngineeringMachine LearningBusiness Intelligence	2011	224
Online state of health estimation on NMC cells based on predictive analytics Maitane Berecibar, Floris Devriendt, Matthieu Dubarry, Journal of Power Sources Data ScienceOnline StatePredictive AnalyticsBiostatisticsHealth Monitoring	2016	195
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models Thomas Verbraken, Wouter Verbeke, Bart Baesens IEEE Transactions on Knowledge and Data Engineering Marketing AnalyticsCustomer SatisfactionBusiness IntelligenceCustomer ProfilingBusiness Analytics	2012	160
Social network analysis for customer churn prediction Wouter Verbeke, David Martens, Bart Baesens Applied Soft Computing Social Data AnalysisCustomer Churn PredictionNetwork ScienceEngineeringData Science	2013	156
A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions Cedric De Cauwer, Wouter Verbeke, Thierry Coosemans, Energies EngineeringEnergy EfficiencyIncluding Vehicle-to-gridTransportation Systems ModelingLimited Driving Range	2017	153
Performance of classification models from a user perspective David Martens, Jan Vanthienen, Wouter Verbeke, Decision Support Systems Data ClassificationClassification MethodEngineeringMachine LearningData Science	2011	115
A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics Floris Devriendt, Darie Moldovan, Wouter Verbeke Big Data EngineeringPrescriptive AnalyticsBusiness AnalyticsData ScienceManagement	2018	105
Credit scoring for microfinance: is it worth it? Joris Van Gool, Wouter Verbeke, Piet Sercu, International Journal of Finance & Economics Eastern Europe‐central AsiaMicrofinanceCredit RiskCredit ScoreRetail Banking	2011	101

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