Dirk Van den Poel
Names
| first: |
Dirk |
| last: |
Van den Poel |
Identifer
Contact
| homepage: |
http://www.crm.ugent.be |
|
| phone: |
+32 9 264 89 80 |
| postal address: |
Faculty of Economics and Business Administration
Department of MIO/Data Analytics
Tweekerkenstraat 2
B-9000 Gent
Belgium |
Affiliations
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Universiteit Gent
/ Faculteit Economie en Bedrijfskunde
Research profile
author of:
- Will they stay or will they go? Predicting customer churn in the energy sector (RePEc:aza:ama000:y:2020:v:6:i:2:p:136-150)
by Vezzoli, Michela & Zogmaister, Cristina & Van Den Poel, Dirk - The Kinked Demand Curve and Price Rigidity: Evidence from Scanner Data (RePEc:bla:scandj:v:112:y:2010:i:4:p:723-752)
by Maarten Dossche & Freddy Heylen & Dirk Van den Poel - Ensemble classification based on generalized additive models (RePEc:eee:csdana:v:54:y:2010:i:6:p:1535-1546)
by De Bock, Koen W. & Coussement, Kristof & Van den Poel, Dirk - Bayesian neural network learning for repeat purchase modelling in direct marketing (RePEc:eee:ejores:v:138:y:2002:i:1:p:191-211)
by Baesens, Bart & Viaene, Stijn & Van den Poel, Dirk & Vanthienen, Jan & Dedene, Guido - Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers (RePEc:eee:ejores:v:156:y:2004:i:2:p:508-523)
by Baesens, Bart & Verstraeten, Geert & Van den Poel, Dirk & Egmont-Petersen, Michael & Van Kenhove, Patrick & Vanthienen, Jan - Customer attrition analysis for financial services using proportional hazard models (RePEc:eee:ejores:v:157:y:2004:i:1:p:196-217)
by Van den Poel, Dirk & Lariviere, Bart - Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (RePEc:eee:ejores:v:164:y:2005:i:1:p:252-268)
by Buckinx, Wouter & Van den Poel, Dirk - Predicting online-purchasing behaviour (RePEc:eee:ejores:v:166:y:2005:i:2:p:557-575)
by Van den Poel, Dirk & Buckinx, Wouter - Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models (RePEc:eee:ejores:v:170:y:2006:i:3:p:710-734)
by Prinzie, Anita & Van den Poel, Dirk - Bayesian kernel based classification for financial distress detection (RePEc:eee:ejores:v:172:y:2006:i:3:p:979-1003)
by Gestel, Tony Van & Baesens, Bart & Suykens, Johan A.K. & Van den Poel, Dirk & Baestaens, Dirk-Emma & Willekens, Marleen - Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments (RePEc:eee:ejores:v:183:y:2007:i:1:p:345-369)
by Lariviere, Bart & Van den Poel, Dirk - CRM in social media: Predicting increases in Facebook usage frequency (RePEc:eee:ejores:v:244:y:2015:i:1:p:248-260)
by Ballings, Michel & Van den Poel, Dirk - Evaluating multi-label classifiers and recommender systems in the financial service sector (RePEc:eee:ejores:v:279:y:2019:i:2:p:620-634)
by Bogaert, Matthias & Lootens, Justine & Van den Poel, Dirk & Ballings, Michel - Consumer Acceptance of the Internet as a Channel of Distribution (RePEc:eee:jbrese:v:45:y:1999:i:3:p:249-256)
by Van den Poel, Dirk & Leunis, Joseph - Empathy as added value in predicting donation behavior (RePEc:eee:jbrese:v:64:y:2011:i:12:p:1288-1295)
by Verhaert, Griet A. & Van den Poel, Dirk - Improving Campaign Success Rate by Tailoring Donation Requests along the Donor Lifecycle (RePEc:eee:joinma:v:25:y:2011:i:1:p:51-63)
by Verhaert, Griet Alice & Van den Poel, Dirk - Social media optimization: Identifying an optimal strategy for increasing network size on Facebook (RePEc:eee:jomega:v:59:y:2016:i:pa:p:15-25)
by Ballings, Michel & Van den Poel, Dirk & Bogaert, Matthias - Joint optimization of customer segmentation and marketing policy to maximize long-term profitability (RePEc:ems:eureir:562)
by Jonker, J.-J. & Piersma, N. & Van den Poel, D. - Predicting Mail-Order Repeat Buying. Which Variables Matter? (RePEc:ete:revbec:20030302)
by D. Van den Poel - Integrating the voice of customers through call center emails into a decision support system for churn prediction (RePEc:hal:journl:hal-00788086)
by K. Coussement & D. van den Poel - Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors (RePEc:hal:journl:hal-00788087)
by K. Coussement & D. van den Poel - Churn prediction in subscription services: an application of support vector machines while comparing two parameter-selection techniques (RePEc:hal:journl:hal-00788096)
by K. Coussement & D. van den Poel - Reconciling performance and interpretability in customer churn prediction modeling using ensemble learning based on generalized additive models (RePEc:hal:journl:hal-00800148)
by K.W. de Bock & D. van den Poel - An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (RePEc:hal:journl:hal-00800160)
by K.W. de Bock & D. van den Poel - Predicting website audience demographics for web advertising targeting using multi website clickstream data (RePEc:hal:journl:hal-00800168)
by K.W. de Bock & D. van den Poel - Ensembles of probability estimation trees for Customer churn prediction (RePEc:hal:journl:hal-00821676)
by K.W. de Bock & D. van den Poel - The Role of Marketer-Generated Content in Customer Engagement Marketing (RePEc:hal:journl:hal-02509303)
by Matthijs Meire & Kelly Hewett & Michel Ballings & V. Kumar & Dirk van den Poel - Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers (RePEc:hal:journl:halshs-00581595)
by K. Coussement & D. van den Poel - Improved marketing decision making in a customer churn prediction context using generalized additive models (RePEc:hal:journl:halshs-00581701)
by K. Coussement & D.F. Benoît & D. van den Poel - Ensemble classification based on generalized additive models (RePEc:hal:journl:halshs-00581711)
by K.W. de Bock & K. Coussement & D. van den Poel - Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models (RePEc:hub:wpecon:200918)
by Coussement, Kristof & Benoit, Dries Frederik & Van den Poel, Dirk - Ensemble classification based on generalized additive models (RePEc:hub:wpecon:201002)
by De Bock, Koen W & Coussement, Kristof & Van den Poel, Dirk - Identifying Soccer Players on Facebook Through Predictive Analytics (RePEc:inm:ordeca:v:14:y:2017:i:4:p:274-297)
by Matthias Bogaert & Michel Ballings & Martijn Hosten & Dirk Van den Poel - bayesQR: A Bayesian Approach to Quantile Regression (RePEc:jss:jstsof:v:076:i07)
by Benoit, Dries F. & Van den Poel, Dirk - The kinked demand curve and price rigidity : evidence from scanner data (RePEc:nbb:reswpp:200610-11)
by Maarten Dossche & Freddy Heylen & Dirk Van den Poel - The impact of sample bias on consumer credit scoring performance and profitability (RePEc:pal:jorsoc:v:56:y:2005:i:8:d:10.1057_palgrave.jors.2601920)
by G Verstraeten & D Van den Poel - Neural network survival analysis for personal loan data (RePEc:pal:jorsoc:v:56:y:2005:i:9:d:10.1057_palgrave.jors.2601990)
by B Baesens & T Van Gestel & M Stepanova & D Van den Poel & J Vanthienen - Enhanced decision support in credit scoring using Bayesian binary quantile regression (RePEc:pal:jorsoc:v:64:y:2013:i:9:p:1374-1383)
by V L Miguéis & D F Benoit & D Van den Poel - Price Rigidity in Europe and the US: A Comparative Analysis Using Scanner Data (RePEc:red:sed011:524)
by Dirk Van den Poel & Benjamin Verhelst - Bayesian Network Classifiers for Identifying the Slope of the Customer - Lifecycle of Long-Life Customers (RePEc:rug:rugwps:02/154)
by B. Baesens & G. Verstraeten & D. Van Den Poel & M. Egmont-Petersen & P. Van Kenhove & J. Vanthienen - Customer Attrition Analysis For Financial Services Using Proportional Hazard Models (RePEc:rug:rugwps:03/164)
by D. Van Den Poel & B. Larivière - Does Attitudinal Commitment to Stores Always Lead to Behavioral Loyalty? The Moderating Effect of Age (RePEc:rug:rugwps:03/168)
by P. Van Kenhove & K. De Wulf & D. Van Den Poelt - Customer Base Analysis: Partial Defection of Behaviorally-Loyal Clients in a Non-Contractual FMCG Retail Setting (RePEc:rug:rugwps:03/178)
by W. Buckinx & D. Van Den Poel - Predicting Mail-Order Repeat Buying: Which Variables Matter? (RePEc:rug:rugwps:03/191)
by D. Van Den Poel - Predicting Online Purchasing Behavior (RePEc:rug:rugwps:03/195)
by W.R Buckinx & D. Van Den Poel - Customer-Adapted Coupon Targeting Using Feature Selection (RePEc:rug:rugwps:03/201)
by W. Buckinx & E. Moons & D. Van Den Poel & G. Wets - Direct and Indirect Effects of Retail Promotions (RePEc:rug:rugwps:03/202)
by D. VAN DEN POEL & Jan J. DE SCHAMPHELAERE & G. WETS - Investigating Purchasing Patterns for Financial Services using Markov, MTD and MTDg Models (RePEc:rug:rugwps:03/213)
by A. Prinzie & D. Van Den Poel - Joint Optimization of Customer Segmentation and Marketing Policy to Maximize Long-Term Profitability (RePEc:rug:rugwps:03/214)
by J.-J. Jonker & N. Piersma & D. Van Den Poel - Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services (RePEc:rug:rugwps:04/223)
by B. Larivière & D. Van Den Poel - The Impact of Sample Bias on Consumer Credit Scoring Performance and Profitability (RePEc:rug:rugwps:04/232)
by G. Verstraeten & D. Van Den Poel - Bayesian Kernel-Based Classification for Financial Distress Detection (RePEc:rug:rugwps:04/247)
by T. Van Gestel & B. Baesens & J. A.K. Suykens & D. Van Den Poel & D.-E. Baestaens & Bm. Willekens - Why promotion strategies based on market basket analysis do not work (RePEc:rug:rugwps:04/262)
by B. Vindevogel & D. Van Den Poel & G. Wets - Dynamic cross-sales effects of price promotions: Empirical generalizations (RePEc:rug:rugwps:04/276)
by B. Vindevogel & D. Van Den Poel & G. Wets - Neural Network Survival Analysis for Personal Loan Data (RePEc:rug:rugwps:04/281)
by B. Baesens & T. Van Gestel & M. Stepanova & D. Van Den Poel - Predicting Customer Retention and Profitability by Using Random Forests and Regression Forests Techniques (RePEc:rug:rugwps:04/282)
by B. Larivière & D. Van Den Poel - Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM (RePEc:rug:rugwps:05/292)
by A. Prinzie & D. Van Den Poel - Constrained optimization of data-mining problems to improve model performance: A direct-marketing application (RePEc:rug:rugwps:05/298)
by A. Prinzie & D. Van Den Poel - Investigating the post-complaint period by means of survival analysis (RePEc:rug:rugwps:05/299)
by B. Larivière & D. Van Den Poel - Predicting Customer Loyalty Using The Internal Transactional Database (RePEc:rug:rugwps:05/324)
by W. Buckinx & G. Verstraeten & D. Van Den Poel - Assessing and exploiting the profit function by modeling the net impact of targeted marketing (RePEc:rug:rugwps:05/330)
by W. Buckinx & D. Van Den Poel - CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services (RePEc:rug:rugwps:05/348)
by J. Burez & D. Van Den Poel - Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions (RePEc:rug:rugwps:06/360)
by G. Verstraeten & D. Van Den Poel - Exploiting Randomness for Feature Selection in Multinomial Logit: a CRM Cross-Sell Application (RePEc:rug:rugwps:06/390)
by A. Prinzie & D. Van Den Poel - Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques (RePEc:rug:rugwps:06/412)
by K. Coussement & D. Van Den Poel - The Kinked Demand Curve and Price Rigidity : Evidence from Scanner Data (RePEc:rug:rugwps:06/429)
by M. Dossche & F. Heylen & D. Van Den Poel - Banking behaviour after the lifecycle event of “moving in together”: An exploratory study of the role of marketing investments (RePEc:rug:rugwps:07/433)
by B. Larivière & D. Van Den Poel - Random Forrests for Multiclass classification: Random Multinomial Logit (RePEc:rug:rugwps:07/435)
by A. Prinzie & D. Van Den Poel - Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models (RePEc:rug:rugwps:07/442)
by A. Prinzie & D. Van Den Poel - Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB (RePEc:rug:rugwps:07/469)
by A. Prinzie & D. Van Den Poel - Separating Financial From Commercial Customer Churn: A Modeling Step Towards Resolving The Conflict Between The Sales And Credit Department (RePEc:rug:rugwps:07/476)
by J. Burez & D. Van Den Poel - Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors (RePEc:rug:rugwps:07/481)
by K. Coussement & D. Van Den Poel - Integrating the Voice of Customers through Call Center Emails into a Decision Support System for Churn Prediction (RePEc:rug:rugwps:08/502)
by K. Coussement & D. Van Den Poel - Handling class imbalance in customer churn prediction (RePEc:rug:rugwps:08/517)
by J. Burez & D. Van Den Poel - Improving Customer Attrition Prediction by Integrating Emotions from Client/Company Interaction Emails and Evaluating Multiple Classifiers (RePEc:rug:rugwps:08/527)
by K. Coussement & D. Van Den Poel - Benefits of Quantile Regression for the Analysis of Customer Lifetime Value in a Contractual Setting: An Application in Financial Services (RePEc:rug:rugwps:09/551)
by D. F. Benoit & D. Van Den Poel - Data Augmentation by Predicting Spending Pleasure Using Commercially Available External Data (RePEc:rug:rugwps:09/596)
by P. Baecke & D. Van Den Poel - Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models (RePEc:rug:rugwps:09/603)
by K. Coussement & D. F. Benoit & D. Van Den Poel - Modeling complex longitudinal consumer behavior with Dynamic Bayesian Networks: An Acquisition Pattern Analysis application (RePEc:rug:rugwps:09/607)
by A. Prinzie & D. Van Den Poel - Predicting web site audience demographics for web advertising targeting using multi-web site clickstream data (RePEc:rug:rugwps:09/618)
by K. W. De Bock & D. Van Den Poel & S. Manigart - Mining Ideas from Textual Information (RePEc:rug:rugwps:09/619)
by D. Thorleuchter & D. Van Den Poel & A. Prinzie & - - Ensemble classification based on generalized additive models (RePEc:rug:rugwps:09/625)
by K. W. De Bock & K. Coussement & D. Van Den Poel & - - A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies (RePEc:rug:rugwps:10/632)
by D. Thorleuchter & D. Van Den Poel & A. Prinzie & - - Improving purchasing behavior predictions by data augmentation with situational variables (RePEc:rug:rugwps:10/658)
by P. Baecke & D. Van Den Poel - Binary quantile regression: A Bayesian approach based on the asymmetric Laplace density (RePEc:rug:rugwps:10/662)
by D. F. Benoit & D. Van Den Poel - Improving campaign success rate by tailoring donation requests along the donor lifecycle (RePEc:rug:rugwps:10/666)
by G. A. Verhaert & D. Van Den Poel - Price rigidity in Europe and the US: A comparative analysis using scanner data (RePEc:rug:rugwps:10/684)
by B. Verhelst & D. Van Den Poel - Empathy as Added Value in Predicting Donation Behavior (RePEc:rug:rugwps:10/692)
by G. A. Verhaert & D. Van Den Poel - An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (RePEc:rug:rugwps:11/717)
by K. W. De Bock & D. Van Den Poel - Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing (RePEc:rug:rugwps:11/733)
by D. Thorleuchter & D. Van Den Poel & A. Prinzie - Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data (RePEc:rug:rugwps:12/776)
by B. Verhelst & D. Van Den Poel - Improving Customer Retention In Financial Services Using Kinship Network Information (RePEc:rug:rugwps:12/786)
by D. F. Benoit & D. Van Den Poel - Including Spatial Interdependence in Customer Acquisition Models: a Cross-Category Comparison (RePEc:rug:rugwps:12/788)
by P. Baecke & D. Van Den Poel - Enterprise architecture management for small and medium sized enterprises: a case study and tool support (RePEc:rug:rugwps:12/789)
by M. Bernaert & D. Van Den Poel - Modeling Partial Customer Churn: On the Value of First Product-Category Purchase Sequences (RePEc:rug:rugwps:12/790)
by V. L. Miguéis & D. Van Den Poel & A.S. Camanho & J. Falcao E Cunha - Enhanced Decision Support in Credit Scoring Using Bayesian Binary Quantile Regression (RePEc:rug:rugwps:12/803)
by V. L. Miguéis & D. F. Benoit & D. Van Den Poel - The Relevant Length of Customer Event History for Churn Prediction: How long is long enough? (RePEc:rug:rugwps:12/804)
by M. Ballings & D. Van Den Poel - Reconciling Performance and Interpretability in Customer Churn Prediction using Ensemble Learning based on Generalized Additive Models (RePEc:rug:rugwps:12/805)
by K. W. De Bock & D. Van Den Poel - Predicting Partial Customer Churn Using Markov for Discrimination for Modeling First Purchase Sequences (RePEc:rug:rugwps:12/806)
by V. L. Miguéis & D. Van Den Poel & A.S. Camanho & Joao Falcao E Cunha - Improved Multilevel Security with Latent Semantic Indexing (RePEc:rug:rugwps:12/811)
by D. Thorleuchter & D. Van Den Poel - Technology Classification with Latent Semantic Indexing (RePEc:rug:rugwps:12/814)
by D. Thorleuchter & D. Van Den Poel - The Role of Seed Money and Threshold Size in Optimizing Fundraising Campaigns: Past Behavior Matters! (RePEc:rug:rugwps:12/815)
by G. A. Verhaert & D. Van Den Poel - Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique (RePEc:rug:rugwps:12/818)
by J. D’Haen & D. Van Den Poel & D. Thorleuchter - Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity (RePEc:rug:rugwps:12/819)
by P. Baecke & D. Van Den Poel - Deep Habits in Consumption: A Spatial Panel Analysis Using Scanner Data (RePEc:rug:rugwps:12/823)
by B. Verhelst & D. Van Den Poel - Protecting Research and Technology from Espionage (RePEc:rug:rugwps:12/824)
by D. Thorleuchter & D. Van Den Poel - Kernel Factory: An Ensemble of Kernel Machines (RePEc:rug:rugwps:12/825)
by M. Ballings & D. Van Den Poel - Weak Signal Identification with Semantic Web Mining (RePEc:rug:rugwps:13/860)
by D. Thorleuchter & D. Van Den Poel - Quantitative Cross Impact Analysis with Latent Semantic Indexing (RePEc:rug:rugwps:13/861)
by D. Thorleuchter & D. Van Den Poel - Semantic Compared Cross Impact Analysis (RePEc:rug:rugwps:13/862)
by D. Thorleuchter & D. Van Den Poel - Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework (RePEc:rug:rugwps:13/863)
by J. D’Haen & D. Van Den Poel - Cash Demand Forecasting in ATMs by Clustering and Neural Networks (RePEc:rug:rugwps:13/865)
by V. Kamini & V. Ravi & A. Prinzie & D. Van Den Poel - An extended Huff-model for robustly benchmarking and predicting retail network performance (RePEc:rug:rugwps:13/866)
by M. De Beule & D. Van Den Poel & N. Van De Weghe - Evaluating the Added Value of Pictorial Data for Customer Churn Prediction (RePEc:rug:rugwps:13/869)
by M. Ballings & D. Van Den Poel & E. Verhagen - Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences (RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353)
by Vera Miguéis & Dirk Poel & Ana Camanho & João Falcão e Cunha - Evaluating the importance of different communication types in romantic tie prediction on social media (RePEc:spr:annopr:v:263:y:2018:i:1:d:10.1007_s10479-016-2295-0)
by Matthias Bogaert & Michel Ballings & Dirk Van den Poel - Deep habits in consumption: a spatial panel analysis using scanner data (RePEc:spr:empeco:v:47:y:2014:i:3:p:959-976)
by Benjamin Verhelst & Dirk Van den Poel - Wrapped input selection using multilayer perceptrons for repeat‐purchase modeling in direct marketing (RePEc:wly:isacfm:v:10:y:2001:i:2:p:115-126)
by Stijn Viaene & Bart Baesens & Dirk Van den Poel & Guido Dedene & Jan Vanthienen - Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution (RePEc:wly:japmet:v:27:y:2012:i:7:p:1174-1188)
by Dries F. Benoit & Dirk Van den Poel - Outlier‐Robust Bayesian Multinomial Choice Modeling (RePEc:wly:japmet:v:31:y:2016:i:7:p:1445-1466)
by Dries F. Benoit & Stefan Van Aelst & Dirk Van den Poel - Improving Purchasing Behavior Predictions By Data Augmentation With Situational Variables (RePEc:wsi:ijitdm:v:09:y:2010:i:06:n:s0219622010004135)
by Philippe Baecke & Dirk Van Den Poel