Bart Baesens

According to our database1, Bart Baesens authored at least 184 papers between 2000 and 2021.

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Bibliography

2021
Expert-driven trace clustering with instance-level constraints.
Knowl. Inf. Syst., 2021

tcc2vec: RFM-informed representation learning on call graphs for churn prediction.
Inf. Sci., 2021

Deep learning for credit scoring: Do or don't?
Eur. J. Oper. Res., 2021

2020
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts.
Expert Syst. Appl., 2020

Profit driven decision trees for churn prediction.
Eur. J. Oper. Res., 2020

Social network analytics for supervised fraud detection in insurance.
CoRR, 2020

Autoencoders for strategic decision support.
CoRR, 2020

robROSE: A robust approach for dealing with imbalanced data in fraud detection.
CoRR, 2020

Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective.
CoRR, 2020

2019
A multi-objective approach for profit-driven feature selection in credit scoring.
Decis. Support Syst., 2019

Evaluating software defect prediction performance: an updated benchmarking study.
CoRR, 2019

Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study.
Bus. Inf. Syst. Eng., 2019

BART: BAckward Regression Trimming.
Big Data, 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
Swipe and Tell: Using Implicit Feedback to Predict User Engagement on Tablets.
ACM Trans. Inf. Syst., 2018

Profit maximizing logistic model for customer churn prediction using genetic algorithms.
Swarm Evol. Comput., 2018

Evaluating recommendation and search in the labor market.
Knowl. Based Syst., 2018

Benchmarking sampling techniques for imbalance learning in churn prediction.
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

On the operational efficiency of different feature types for telco Churn prediction.
Eur. J. Oper. Res., 2018

Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud.
Decis. Support Syst., 2018

Predicting tax avoidance by means of social network analytics.
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

Special Issue on Profit-Driven Analytics.
Big Data, 2018

Profit-Oriented Feature Selection in Credit Scoring Applications.
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

Profit Maximizing Logistic Regression Modeling for Credit Scoring.
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
A new transferred feature selection algorithm for customer identification.
Neural Comput. Appl., 2017

GOTCHA! Network-Based Fraud Detection for Social Security Fraud.
Manag. Sci., 2017

Time to default in credit scoring using survival analysis: a benchmark study.
J. Oper. Res. Soc., 2017

An empirical comparison of techniques for the class imbalance problem in churn prediction.
Inf. Sci., 2017

Defining analytics maturity indicators: A survey approach.
Int. J. Inf. Manag., 2017

Social network analytics for churn prediction in telco: Model building, evaluation and network architecture.
Expert Syst. Appl., 2017

A note on explicit versus implicit information for job recommendation.
Decis. Support Syst., 2017

Challenges of smart business process management: An introduction to the special issue.
Decis. Support Syst., 2017

Predicting software revision outcomes on GitHub using structural holes theory.
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

Improving Resampling-based Ensemble in Churn Prediction.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Churn Prediction Using Dynamic RFM-Augmented Node2vec.
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

Scalable RFM-enriched Representation Learning for Churn Prediction.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

An Approach for Incorporating Expert Knowledge in Trace Clustering.
Proceedings of the Advanced Information Systems Engineering, 2017

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

Enabling flexible location-aware business process modeling and execution.
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
Comprehensible software fault and effort prediction: A data mining approach.
J. Syst. Softw., 2015

Domain knowledge based segmentation of online banking customers.
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

An Akaike information criterion for multiple event mixture cure models.
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

Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Profit maximizing logistic regression modeling for customer churn prediction.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data.
Proceedings of the Software Engineering in Intelligent Systems, 2015

AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Combining Local and Social Network Classifiers to Improve Churn Prediction.
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

Clinical Pathway Analytics.
J. Inf. Technol. Res., 2014

Investigating Associative Classification for Software Fault Prediction: An Experimental Perspective.
Int. J. Softw. Eng. Knowl. Eng., 2014

Profit optimizing customer churn prediction with Bayesian network classifiers.
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

Predicting online channel acceptance with social network data.
Decis. Support Syst., 2014

Monitoring care processes in the gynecologic oncology department.
Comput. Biol. Medicine, 2014

Social network analysis for customer churn prediction.
Appl. Soft Comput., 2014

A new knowledge-based constrained clustering approach: Theory and application in direct marketing.
Appl. Soft Comput., 2014

Event-Based Real-Time Decomposed Conformance Analysis.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

Mining Telecommunication Networks to Enhance Customer Lifetime Predictions.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Declarative process discovery with evolutionary computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Towards Location-Aware Process Modeling and Execution.
Proceedings of the Business Process Management Workshops, 2014

2013
Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers.
IEEE Trans. Software Eng., 2013

Active Trace Clustering for Improved Process Discovery.
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

Using social network data to predict technology acceptance.
Proceedings of the International Conference on Information Systems, 2013

Business Rule Patterns and Their Application to Process Analytics.
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

Volvo IT Belgium VINST.
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
Data Mining Techniques for Software Effort Estimation: A Comparative Study.
IEEE Trans. Software Eng., 2012

Neural Networks and Learning Systems Come Together.
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

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

Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining.
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

Rule-Based Business Process Mining: Applications for Management.
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

Improved Artificial Negative Event Generation to Enhance Process Event Logs.
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
Guest Editorial White Box Nonlinear Prediction Models.
IEEE Trans. Neural Networks, 2011

Editorial survey: swarm intelligence for data mining.
Mach. Learn., 2011

Rule Extraction from Minimal Neural Networks for Credit Card Screening.
Int. J. Neural Syst., 2011

Building comprehensible customer churn prediction models with advanced rule induction techniques.
Expert Syst. Appl., 2011

Identifying financially successful start-up profiles with data mining.
Expert Syst. Appl., 2011

Monitoring and backtesting churn models.
Expert Syst. Appl., 2011

Performance of classification models from a user perspective.
Decis. Support Syst., 2011

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models.
Decis. Support Syst., 2011

Process discovery in event logs: An application in the telecom industry.
Appl. Soft Comput., 2011

Using Social Network Classifiers for Predicting E-Commerce Adoption.
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

A robust F-measure for evaluating discovered process models.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Advanced Care-Flow Mining and Analysis.
Proceedings of the Business Process Management Workshops, 2011

2010
Building Acceptable Classification Models.
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Credit rating prediction using Ant Colony Optimization.
J. Oper. Res. Soc., 2010

An overview and framework for PD backtesting and benchmarking.
J. Oper. Res. Soc., 2010

From linear to non-linear kernel based classifiers for bankruptcy prediction.
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

Software Effort Prediction Using Regression Rule Extraction from Neural Networks.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Critical Evaluation Study of Model-Log Metrics in Process Discovery.
Proceedings of the Business Process Management Workshops, 2010

2009
Decompositional Rule Extraction from Support Vector Machines by Active Learning.
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

50 years of data mining and OR: upcoming trends and challenges.
J. Oper. Res. Soc., 2009

Robust Process Discovery with Artificial Negative Events.
J. Mach. Learn. Res., 2009

Inferring comprehensible business/ICT alignment rules.
Inf. Manag., 2009

A modified Pareto/NBD approach for predicting customer lifetime value.
Expert Syst. Appl., 2009

A note on knowledge discovery using neural networks and its application to credit card screening.
Eur. J. Oper. Res., 2009

Modeling churn using customer lifetime value.
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

A Data Miner's Approach to Country Corruption Analysis.
Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008

Minerva: Sequential Covering for Rule Extraction.
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

Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
IEEE Trans. Neural Networks, 2008

Mining software repositories for comprehensible software fault prediction models.
J. Syst. Softw., 2008

Predicting going concern opinion with data mining.
Decis. Support Syst., 2008

2007
Classification With Ant Colony Optimization.
IEEE Trans. Evol. Comput., 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

A new approach for measuring rule set consistency.
Data Knowl. Eng., 2007

Process Mining as First-Order Classification Learning on Logs with Negative Events.
Proceedings of the Business Process Management Workshops, 2007

2006
Ants Constructing Rule-Based Classifiers.
Proceedings of the Swarm Intelligence in Data Mining, 2006

Failure prediction with self organizing maps.
Expert Syst. Appl., 2006

Special issue on intelligent information systems for financial engineering.
Expert Syst. Appl., 2006

Bayesian kernel based classification for financial distress detection.
Eur. J. Oper. Res., 2006

A process model to develop an internal rating system: Sovereign credit ratings.
Decis. Support Syst., 2006

Country Corruption Analysis with Self Organizing Maps and Support Vector Machines.
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

ITER: An Algorithm for Predictive Regression Rule Extraction.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Ant-Based Approach to the Knowledge Fusion Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005
Neural network survival analysis for personal loan data.
J. Oper. Res. Soc., 2005

Filter- versus wrapper-based feature selection for credit scoring.
Int. J. Intell. Syst., 2005

Confidence intervals for probabilistic network classifiers.
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

A Comprehensible SOM-Based Scoring System.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A Stigmergy Based Approach to Data Mining.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Benchmarking Least Squares Support Vector Machine Classifiers.
Mach. Learn., 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

Benchmarking state-of-the-art classification algorithms for credit scoring.
J. Oper. Res. Soc., 2003

Building Intelligent Credit Scoring Systems Using Decision Tables.
Proceedings of the ICEIS 2003, 2003

Bankruptcy prediction with least squares support vector machine classifiers.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

2002
Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring.
Int. J. Intell. Syst., 2002

Bayesian neural network learning for repeat purchase modelling in direct marketing.
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

Wrapped Feature Selection by Means of Guided Neural Network Optimization.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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