Dirk Van den Poel
Orcid: 0000-0002-8676-8103
According to our database1,
Dirk Van den Poel
authored at least 109 papers
between 1998 and 2021.
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Bibliography
2021
Do Mobile Phone Data Provide a Better Denominator in Crime Rates and Improve Spatiotemporal Predictions of Crime?
ISPRS Int. J. Geo Inf., 2021
Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data.
Decis. Support Syst., 2021
Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms.
Decis. Support Syst., 2021
Predicting Self-declared Movie Watching Behavior Using Facebook Data and Information-Fusion Sensitivity Analysis.
Decis. Sci., 2021
Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning.
Comput. Electron. Agric., 2021
Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning.
Comput. Electron. Agric., 2021
Adding interpretability to predictive maintenance by machine learning on sensor data.
Comput. Chem. Eng., 2021
IEEE Access, 2021
IEEE Access, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
Leveraging latent representations for milk yield prediction and interpolation using deep learning.
Comput. Electron. Agric., 2020
Comput. Chem. Eng., 2020
2019
Evaluating multi-label classifiers and recommender systems in the financial service sector.
Eur. J. Oper. Res., 2019
2018
Evaluating the importance of different communication types in romantic tie prediction on social media.
Ann. Oper. Res., 2018
Latency Measurement of Fine-Grained Operations in Benchmarking Distributed Stream Processing Frameworks.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018
2017
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination.
Decis. Support Syst., 2017
The added value of social media data in B2B customer acquisition systems: A real-life experiment.
Decis. Support Syst., 2017
Decis. Anal., 2017
2016
Decis. Support Syst., 2016
Integrating expert knowledge and multilingual web crawling data in a lead qualification system.
Decis. Support Syst., 2016
Decis. Support Syst., 2016
Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Expert Syst. Appl., 2015
Eur. J. Oper. Res., 2015
2014
Expert Syst. Appl., 2014
Eur. J. Oper. Res., 2014
Proceedings of the New Perspectives in Information Systems and Technologies, 2014
2013
Enhanced decision support in credit scoring using Bayesian binary quantile regression.
J. Oper. Res. Soc., 2013
Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity.
J. Intell. Inf. Syst., 2013
Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique.
Expert Syst. Appl., 2013
Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
The role of seed money and threshold size in optimizing fundraising campaigns: Past behavior matters!
Expert Syst. Appl., 2012
Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing.
Expert Syst. Appl., 2012
Predicting e-commerce company success by mining the text of its publicly-accessible website.
Expert Syst. Appl., 2012
Modeling partial customer churn: On the value of first product-category purchase sequences.
Expert Syst. Appl., 2012
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models.
Expert Syst. Appl., 2012
Improving customer retention in financial services using kinship network information.
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Including spatial interdependence in customer acquisition models: A cross-category comparison.
Expert Syst. Appl., 2012
IEEE Intell. Informatics Bull., 2012
Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences.
Adv. Data Anal. Classif., 2012
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012
Improving Customer Churn Prediction by Data Augmentation Using Pictorial Stimulus-Choice Data.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012
Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012
Proceedings of the Future Security - 7th Security Research Conference, 2012
Proceedings of the Future Security - 7th Security Research Conference, 2012
2011
Modeling complex longitudinal consumer behavior with Dynamic Bayesian networks: an Acquisition Pattern Analysis application.
J. Intell. Inf. Syst., 2011
Data augmentation by predicting spending pleasure using commercially available external data.
J. Intell. Inf. Syst., 2011
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction.
Expert Syst. Appl., 2011
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
2010
Improving Purchasing Behavior Predictions by Data Augmentation with Situational Variables.
Int. J. Inf. Technol. Decis. Mak., 2010
Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data.
Fundam. Informaticae, 2010
Improved marketing decision making in a customer churn prediction context using generalized additive models.
Expert Syst. Appl., 2010
Comput. Stat. Data Anal., 2010
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers.
Expert Syst. Appl., 2009
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services.
Expert Syst. Appl., 2009
2008
Integrating the voice of customers through call center emails into a decision support system for churn prediction.
Inf. Manag., 2008
Expert Syst. Appl., 2008
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques.
Expert Syst. Appl., 2008
Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department.
Expert Syst. Appl., 2008
Improving customer complaint management by automatic email classification using linguistic style features as predictors.
Decis. Support Syst., 2008
Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application.
Proceedings of the New Frontiers in Applied Data Mining, 2008
2007
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services.
Expert Syst. Appl., 2007
Expert Syst. Appl., 2007
Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments.
Eur. J. Oper. Res., 2007
Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models.
Decis. Support Syst., 2007
Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007
2006
Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models.
Eur. J. Oper. Res., 2006
Eur. J. Oper. Res., 2006
Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM.
Decis. Support Syst., 2006
Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions.
Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006
Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application.
Proceedings of the Advances in Data Mining, 2006
2005
J. Oper. Res. Soc., 2005
Expert Syst. Appl., 2005
Constrained optimization of data-mining problems to improve model performance: A direct-marketing application.
Expert Syst. Appl., 2005
Expert Syst. Appl., 2005
Predicting customer retention and profitability by using random forests and regression forests techniques.
Expert Syst. Appl., 2005
Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting.
Eur. J. Oper. Res., 2005
2004
Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market.
Expert Syst. Appl., 2004
Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services.
Expert Syst. Appl., 2004
Joint optimization of customer segmentation and marketing policy to maximize long-term profitability.
Expert Syst. Appl., 2004
Eur. J. Oper. Res., 2004
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers.
Eur. J. Oper. Res., 2004
2002
Eur. J. Oper. Res., 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
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
1998
Proceedings of the Rough Sets and Current Trends in Computing, 1998