Dirk Van den Poel

According to our database1, Dirk Van den Poel authored at least 108 papers between 1998 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


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

Adding interpretability to predictive maintenance by machine learning on sensor data.
Comput. Chem. Eng., 2021

Influencing Factors in the Scalability of Distributed Stream Processing Jobs.
IEEE Access, 2021

A Performance Analysis of Fault Recovery in Stream Processing Frameworks.
IEEE Access, 2021

Evaluation of Stream Processing Frameworks.
IEEE Trans. Parallel Distributed Syst., 2020

Leveraging latent representations for milk yield prediction and interpolation using deep learning.
Comput. Electron. Agric., 2020

Machine learning refinery sensor data to predict catalyst saturation levels.
Comput. Chem. Eng., 2020

Evaluating multi-label classifiers and recommender systems in the financial service sector.
Eur. J. Oper. Res., 2019

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

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

Identifying Soccer Players on Facebook Through Predictive Analytics.
Decis. Anal., 2017

Identification of interdisciplinary ideas.
Inf. Process. Manag., 2016

The added value of auxiliary data in sentiment analysis of Facebook posts.
Decis. Support Syst., 2016

Integrating expert knowledge and multilingual web crawling data in a lead qualification system.
Decis. Support Syst., 2016

The added value of Facebook friends data in event attendance prediction.
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

Evaluating multiple classifiers for stock price direction prediction.
Expert Syst. Appl., 2015

CRM in social media: Predicting increases in Facebook usage frequency.
Eur. J. Oper. Res., 2015

Semantic weak signal tracing.
Expert Syst. Appl., 2014

Semantic compared cross impact analysis.
Expert Syst. Appl., 2014

Quantitative cross impact analysis with latent semantic indexing.
Expert Syst. Appl., 2014

Cash demand forecasting in ATMs by clustering and neural networks.
Eur. J. Oper. Res., 2014

Using Text Summarizing to Support Planning of Research and Development.
Proceedings of the New Perspectives in Information Systems and Technologies, 2014

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

Weak signal identification with semantic web mining.
Expert Syst. Appl., 2013

Web mining based extraction of problem solution ideas.
Expert Syst. Appl., 2013

Protecting research and technology from espionage.
Expert Syst. Appl., 2013

Technology classification with latent semantic indexing.
Expert Syst. Appl., 2013

Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique.
Expert Syst. Appl., 2013

Kernel Factory: An ensemble of kernel machines.
Expert Syst. Appl., 2013

Analyzing Website Content for Improved R&T Collaboration Planning.
Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013

Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

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

Improved multilevel security with latent semantic indexing.
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

Customer event history for churn prediction: How long is long enough?
Expert Syst. Appl., 2012

Including spatial interdependence in customer acquisition models: A cross-category comparison.
Expert Syst. Appl., 2012

Book Review: Ensemble Methods: Foundations and Algorithms.
IEEE Intell. Informatics Bull., 2012

Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences.
Adv. Data Anal. Classif., 2012

Using Webcrawling of Publicly Available Websites to Assess E-commerce Relationships.
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

Temporary Staffing Services: A Data Mining Perspective.
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

Improved Emergency Management by a Loosely Coupled Logistic System.
Proceedings of the Future Security - 7th Security Research Conference, 2012

Using NMF for Analyzing War Logs.
Proceedings of the Future Security - 7th Security Research Conference, 2012

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

Incorporating Neighborhood Effects in Customer Relationship Management Models.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

RFM Variables Revisited Using Quantile Regression.
Proceedings of the Data Mining Workshops (ICDMW), 2011

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

Mining ideas from textual information.
Expert Syst. Appl., 2010

Improved marketing decision making in a customer churn prediction context using generalized additive models.
Expert Syst. Appl., 2010

Ensemble classification based on generalized additive models.
Comput. Stat. Data Anal., 2010

Extracting Consumers Needs for New Products - A Web Mining Approach.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

Ensembles of Probability Estimation Trees for Customer Churn Prediction.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers.
Expert Syst. Appl., 2009

Handling class imbalance in customer churn prediction.
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

Integrating the voice of customers through call center emails into a decision support system for churn prediction.
Inf. Manag., 2008

Random Forests for multiclass classification: Random MultiNomial Logit.
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

CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services.
Expert Syst. Appl., 2007

Predicting customer loyalty using the internal transactional database.
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

Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models.
Eur. J. Oper. Res., 2006

Bayesian kernel based classification for financial distress detection.
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

The impact of sample bias on consumer credit scoring performance and profitability.
J. Oper. Res. Soc., 2005

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

Why promotion strategies based on market basket analysis do not work.
Expert Syst. Appl., 2005

Constrained optimization of data-mining problems to improve model performance: A direct-marketing application.
Expert Syst. Appl., 2005

Investigating the post-complaint period by means of survival analysis.
Expert Syst. Appl., 2005

Predicting customer retention and profitability by using random forests and regression forests techniques.
Expert Syst. Appl., 2005

Predicting online-purchasing behaviour.
Eur. J. Oper. Res., 2005

Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting.
Eur. J. Oper. Res., 2005

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

Customer-adapted coupon targeting using feature selection.
Expert Syst. Appl., 2004

Customer attrition analysis for financial services using proportional hazard models.
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

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

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

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Purchase Prediction in Database Marketing with the ProbRough System.
Proceedings of the Rough Sets and Current Trends in Computing, 1998