Bart Baesens
Orcid: 0000-0002-5831-5668Affiliations:
- KU Leuven, Faculty of Business and Economics, Belgium
According to our database1,
Bart Baesens
authored at least 204 papers
between 2000 and 2024.
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Bibliography
2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
CATCHM: A novel network-based credit card fraud detection method using node representation learning.
Decis. Support Syst., 2023
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers.
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies.
Inf. Sci., 2022
Eur. J. Oper. Res., 2022
A new perspective on classification: optimally allocating limited resources to uncertain tasks.
CoRR, 2022
Proceedings of the Research Challenges in Information Science, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
Knowl. Inf. Syst., 2021
Inf. Sci., 2021
2020
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts.
Expert Syst. Appl., 2020
CoRR, 2020
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective.
CoRR, 2020
2019
Decis. Support Syst., 2019
CoRR, 2019
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study.
Bus. Inf. Syst. Eng., 2019
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics.
Appl. Soft Comput., 2019
Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco.
Proceedings of the Complex Networks and Their Applications VIII, 2019
2018
ACM Trans. Inf. Syst., 2018
Profit maximizing logistic model for customer churn prediction using genetic algorithms.
Swarm Evol. Comput., 2018
J. Oper. Res. Soc., 2018
Time series for early churn detection: Using similarity based classification for dynamic networks.
Expert Syst. Appl., 2018
Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation.
Expert Syst. Appl., 2018
Eur. J. Oper. Res., 2018
Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud.
Decis. Support Syst., 2018
Decis. Support Syst., 2018
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.
Big Data, 2018
An Interview with Bart Baesens, One of the Authors of <i>Principles of Database Management</i>.
Big Data, 2018
Proceedings of the Operations Research Proceedings 2018, 2018
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending.
Proceedings of the International Conference on Information Systems, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Neural Comput. Appl., 2017
J. Oper. Res. Soc., 2017
An empirical comparison of techniques for the class imbalance problem in churn prediction.
Inf. Sci., 2017
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture.
Expert Syst. Appl., 2017
Decis. Support Syst., 2017
Challenges of smart business process management: An introduction to the special issue.
Decis. Support Syst., 2017
Comput. Networks, 2017
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints.
Appl. Soft Comput., 2017
ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting.
Appl. Soft Comput., 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017
Towards a Visual Approach to Aggregate Data Quality Measurements.
Proceedings of the 22nd International Conference on Information Quality, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the Advanced Information Systems Engineering, 2017
2016
MIS Q., 2016
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis.
J. Oper. Res. Soc., 2016
On the gap between reality and registration: a business event analysis classification framework.
Inf. Technol. Manag., 2016
Decis. Support Syst., 2016
Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes - An exploratory study.
Decis. Support Syst., 2016
A comparative study of social network classifiers for predicting churn in the telecommunication industry.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
J. Syst. Softw., 2015
Intell. Data Anal., 2015
Identifying next relevant variables for segmentation by using feature selection approaches.
Expert Syst. Appl., 2015
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research.
Eur. J. Oper. Res., 2015
Eur. J. Oper. Res., 2015
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.
Decis. Support Syst., 2015
To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms.
Data Min. Knowl. Discov., 2015
Profit-based feature selection using support vector machines - General framework and an application for customer retention.
Appl. Soft Comput., 2015
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the Software Engineering in Intelligent Systems, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events.
IEEE Trans. Knowl. Data Eng., 2014
Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state.
J. Oper. Res. Soc., 2014
Investigating Associative Classification for Software Fault Prediction: An Experimental Perspective.
Int. J. Softw. Eng. Knowl. Eng., 2014
Intell. Data Anal., 2014
A dynamic understanding of customer behavior processes based on clustering and sequence mining.
Expert Syst. Appl., 2014
Development and application of consumer credit scoring models using profit-based classification measures.
Eur. J. Oper. Res., 2014
Decis. Support Syst., 2014
Comput. Biol. Medicine, 2014
A new knowledge-based constrained clustering approach: Theory and application in direct marketing.
Appl. Soft Comput., 2014
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the Business Process Management Workshops, 2014
2013
Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers.
IEEE Trans. Software Eng., 2013
IEEE Trans. Knowl. Data Eng., 2013
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models.
IEEE Trans. Knowl. Data Eng., 2013
A multidimensional analysis of data quality for credit risk management: New insights and challenges.
Inf. Manag., 2013
Comprehensive rule-based compliance checking and risk management with process mining.
Decis. Support Syst., 2013
Process Mining for the multi-faceted analysis of business processes - A case study in a financial services organization.
Comput. Ind., 2013
A comprehensive investigation of the applicability of process mining techniques for enterprise risk management.
Comput. Ind., 2013
Proceedings of the International Conference on Information Systems, 2013
Proceedings of the 17th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2013
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining.
Proceedings of the Business Process Management Workshops, 2013
Proceedings of the 3rd Business Process Intelligence Challenge co-located with 9th International Business Process Intelligence Workshop (BPI 2013), 2013
Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques.
Proceedings of the Business Process Management Workshops, 2013
Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior.
Proceedings of the Business Process Management Workshops, 2013
Using social network knowledge for detecting spider constructions in social security fraud.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
IEEE Trans. Software Eng., 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs.
Inf. Syst., 2012
Int. J. Inf. Qual., 2012
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach.
Eur. J. Oper. Res., 2012
A new SOM-based method for profile generation: Theory and an application in direct marketing.
Eur. J. Oper. Res., 2012
Gaining insight into student satisfaction using comprehensible data mining techniques.
Eur. J. Oper. Res., 2012
Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012
Proceedings of the Management Intelligent Systems - First International Symposium, 2012
Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the Advanced Information Systems Engineering, 2012
On the Distinction between Truthful, Invisible, False and Unobserved Events An Event Existence Classification Framework and the Impact on Business Process Analytics Related Research Areas.
Proceedings of the 18th Americas Conference on Information Systems, 2012
2011
IEEE Trans. Neural Networks, 2011
Int. J. Neural Syst., 2011
Building comprehensible customer churn prediction models with advanced rule induction techniques.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Decis. Support Syst., 2011
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models.
Decis. Support Syst., 2011
Appl. Soft Comput., 2011
Proceedings of the E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life, 2011
Data quality for credit risk management.
Proceedings of the 16th International Conference on Information Quality, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the Business Process Management Workshops, 2011
2010
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010
J. Oper. Res. Soc., 2010
Neurocomputing, 2010
A novel approach to the evaluation and improvement of data quality in the financial sector.
Proceedings of the 15th International Conference on Information Quality, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the Business Process Management Workshops, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
Domain knowledge integration in data mining using decision tables: case studies in churn prediction.
J. Oper. Res. Soc., 2009
J. Oper. Res. Soc., 2009
Expert Syst. Appl., 2009
A note on knowledge discovery using neural networks and its application to credit card screening.
Eur. J. Oper. Res., 2009
Including Domain Knowledge in Customer Churn Prediction Using AntMiner+.
Proceedings of the Advances in Data Mining in Marketing. 9th Industrial Conference, 2009
Fraud Detection in Statistics Education Based on the Compendium Platform and Reproducible Computing.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.
Proceedings of the Rule Extraction from Support Vector Machines, 2008
Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings.
IEEE Trans. Software Eng., 2008
IEEE Trans. Neural Networks, 2008
J. Syst. Softw., 2008
2007
Comprehensible credit scoring models using rule extraction from support vector machines.
Eur. J. Oper. Res., 2007
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms.
Eur. J. Oper. Res., 2007
Proceedings of the Business Process Management Workshops, 2007
2006
Proceedings of the Swarm Intelligence in Data Mining, 2006
Expert Syst. Appl., 2006
Eur. J. Oper. Res., 2006
Decis. Support Syst., 2006
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006
Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction.
Proceedings of the International Conference on Information Systems, 2006
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006
2005
Int. J. Intell. Syst., 2005
Comput. Stat. Data Anal., 2005
From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables.
Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 2005
From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables.
Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
Decision diagrams in machine learning: an empirical study on real-life credit-risk data.
Expert Syst. Appl., 2004
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers.
Eur. J. Oper. Res., 2004
Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams.
Proceedings of the ICEIS 2004, 2004
Web Usage Mining with Time Constrained Association Rules.
Proceedings of the ICEIS 2004, 2004
2003
Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation.
Manag. Sci., 2003
J. Oper. Res. Soc., 2003
Building Intelligent Credit Scoring Systems Using Decision Tables.
Proceedings of the ICEIS 2003, 2003
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003
2002
Int. J. Intell. Syst., 2002
Eur. J. Oper. Res., 2002
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing.
Proceedings of the ICEIS 2002, 2002
2001
Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing.
Intell. Syst. Account. Finance Manag., 2001
Knowledge discovery in a direct marketing case using least squares support vector machines.
Int. J. Intell. Syst., 2001
Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables.
Proceedings of the International Conference on Information Systems, 2001
2000
Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
An empirical assessment of kernel type performance for least squares support vector machine classifiers.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000