Baesens Bart

Bart Baesens

Information about the author Bart Baesens will soon be added to the site.
Found 16 papers in total
GOTCHA! Network-Based Fraud Detection for Social Security Fraud
GOTCHA! Network-Based Fraud Detection for Social Security Fraud
2017
We study the impact of network information for social security fraud detection. In a...
Time to default in credit scoring using survival analysis: a benchmark study
Time to default in credit scoring using survival analysis: a benchmark study
2017
We investigate the performance of various survival analysis techniques applied to ten...
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis
2016
Mobile phone carriers in a saturated market must focus on customer retention to...
Development and application of consumer credit scoring models using profit-based classification measures
Development and application of consumer credit scoring models using profit-based classification measures
2014
This paper presents a new approach for consumer credit scoring, by tailoring a...
Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state
Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state
2014
On the basis of two data sets containing Loss Given Default (LGD) observations of home...
A multidimensional analysis of data quality for credit risk management: New insights and challenges
A multidimensional analysis of data quality for credit risk management: New insights and challenges
2013
Recent studies have indicated that companies are increasingly experiencing Data...
Gaining insight into student satisfaction using comprehensible data mining techniques
Gaining insight into student satisfaction using comprehensible data mining techniques
2012
As a consequence of the heightened competition on the education market, the management...
A new SOM‐based method for profile generation: Theory and an application in direct marketing
A new SOM‐based method for profile generation: Theory and an application in direct marketing
2012
The field of direct marketing is constantly searching for new data mining techniques...
Performance of classification models from a user perspective
Performance of classification models from a user perspective
2011
This paper proposes a complete framework to assess the overall performance of...
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
2011
An important objective of data mining is the development of predictive models. Based...
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms
Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms
2007
Generating both accurate as well as explanatory classification rules is becoming...
Bayesian kernel based classification for financial distress detection
Bayesian kernel based classification for financial distress detection
2006
Corporate credit granting is a key commercial activity of financial institutions...
A Bayesian nonlinear support vector machine error correction model
A Bayesian nonlinear support vector machine error correction model
2006
The use of linear error correction models based on stationarity and cointegration...
A process model to develop an internal rating system: Sovereign credit ratings
A process model to develop an internal rating system: Sovereign credit ratings
2006
The Basel II capital accord encourages financial institutions to develop rating...
Using neural network rule extraction and decision tables for credit-risk evaluation
Using neural network rule extraction and decision tables for credit-risk evaluation
2003
Credit-risk evaluation is a very challenging and important management science problem...
Bayesian neural network learning for repeat purchase modelling in direct marketing
Bayesian neural network learning for repeat purchase modelling in direct marketing
2002
We focus on purchase incidence modelling for a European direct mail company. Response...
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