Research Explorer

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Researcher

Dirk Van den Poel

Publications & Research Data

Awards & Distinctions

240 Results

2026

A coevolutionary approach for optimizing interpretable rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

A coevolutionary approach to optimizing interpretable rule ensembles

Simon De LangeMatthias BogaertKoen De BockDirk Van den Poel

2025

A comparative analysis of topic reduction techniques for BERTopic

Wannes JanssensMatthias BogaertDirk Van den Poel

A1 Journal Article in IEEE ACCESS

Comparing Deep Learning Models and LLMs for airport sentiment analysis on Twitter data

Dirk Van den PoelMaxim DevriendtValentin Janclaes

Customer experiences and coping behaviors during crisis situations : the role of service adaptation and service transformation

Bart LarivièreLisa SchetgenMatthias BogaertDirk Van den Poel

A1 Journal Article in JOURNAL OF BUSINESS RESEARCH

Leveraging sensor data for fault detection in split-system air conditioners

Yaël De RockerMatthias BogaertDirk Van den Poel

LLM-assisted topic reduction for BERTopic on social media data

Wannes JanssensMatthias BogaertDirk Van den Poel

Making sense of BERTopic : a deep dive into topic reduction techniques

Wannes JanssensMatthias BogaertDirk Van den Poel

Predicting and explaining post-repair machine failures using machine learning on warranty data

Wannes JanssensYaël De RockerBrammert TermontMatthias BogaertDirk Van den Poel

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

2024

360 Degrees rumor detection : when explanations got some explaining to do

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

B2Boost : instance-dependent profit-driven modelling of B2B churn

Bram JanssensMatthias BogaertAstrid BaguéDirk Van den Poel

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Hands-on data engineering with R, Python and PostgreSQL

Michel BallingsDirk Van den Poel

2023

A longitudinal time series analysis of celebrity chef popularity and its relation to household purchases : a potential game changer for health promoting campaigns?

Viktor ProesmansDirk Van den PoelIris VermeirMaggie Geuens

Hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

Thom SnaphaanAnneleen RummensNico Van de WegheDirk Van den PoelLieven PauwelsWim Hardyns

A2 Journal Article in TIJDSCHRIFT VOOR VEILIGHEID

Over hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte

Thom SnaphaanAnneleen RummensNico Van de WegheDirk Van den PoelLieven PauwelsWim Hardyns

2022

Amazon Rainforest Wildfires Rumor Detection

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

COVID19 Rumor Detection

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

Hands-on data engineering with R, Python and PostgreSQL

Michel BallingsDirk Van den Poel

Investigating parallel implementations of genetic algorithms for stochastic part-of-speech tagging

Shimanto RahmanMatthias BogaertDirk Van den Poel

Using deep learning for animal monitoring to improve animal welfare in dairy cattle

Arno LiseuneDirk Van den PoelMiel Hostens

2021

A performance analysis of fault recovery in stream processing frameworks

Giselle van DongenDirk Van den Poel

A1 Journal Article in IEEE ACCESS

Adding interpretability to predictive maintenance by machine learning on sensor data

Bram SteurtewagenDirk Van den Poel

A1 Journal Article in COMPUTERS & CHEMICAL ENGINEERING

Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms

Matthias BogaertMichel BallingsDirk Van den PoelAsil Oztekin

A1 Journal Article in DECISION SUPPORT SYSTEMS

Do mobile phone data provide a better denominator in crime rates and improve spatiotemporal predictions of crime?

Anneleen RummensThom SnaphaanNico Van de WegheDirk Van den PoelLieven PauwelsWim Hardyns

A1 Journal Article in ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION

Evaluating the influence of Airbnb listings’ descriptions on demand

Bram JanssensMatthias BogaertDirk Van den Poel

A1 Journal Article in INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT

Influencing factors in the scalability of distributed stream processing jobs

Giselle van DongenDirk Van den Poel

A1 Journal Article in IEEE ACCESS

Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning

Arno LiseuneDirk Van den PoelPeter R. HutFrank J. C. M. van EerdenburgMiel Hostens

A1 Journal Article in COMPUTERS AND ELECTRONICS IN AGRICULTUR

Open stream processing benchmark : an extensive analysis of distributed stream processing frameworks

Giselle van DongenDirk Van den Poel

Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

Lisa SchetgenMatthias BogaertDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis

Matthias BogaertMichel BallingsRob BergmansDirk Van den Poel

A1 Journal Article in DECISION SCIENCES

Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Arno LiseuneMatthieu SalamoneDirk Van den PoelBonifacius Van RanstMiel Hostens

A1 Journal Article in COMPUTERS AND ELECTRONICS IN AGRICULTURE

Predictive analytics as a value-driver in industry 4.0

Bram SteurtewagenDirk Van den Poel

2020

Evaluation of stream processing frameworks

Giselle van DongenDirk Van den Poel

A1 Journal Article in IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Leveraging latent representations for milk yield prediction and interpolation using deep learning

Arno LiseuneMatthieu SalamoneDirk Van den PoelBonifacius Van RanstMiel Hostens

A1 Journal Article in COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine learning refinery sensor data to predict catalyst saturation levels

Bram SteurtewagenDirk Van den Poel

A1 Journal Article in COMPUTERS & CHEMICAL ENGINEERING

Will they stay or will they go? Predicting customer churn in the energy sector

Michela VezzoliCristina ZogmaisterDirk Van den Poel

A2 Journal Article in APPLIED MARKETING ANALYTICS

2019

Acquisition modeling in the nonprofit sector based on Facebook data

Lisa SchetgenMatthias BogaertDirk Van den Poel

Evaluating multi-label classifiers and recommender systems in the financial service sector

Matthias BogaertJustine LootensDirk Van den PoelMichel Ballings

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Examining the relationship between crime and the ambient population using mobile phone data : the case of Belgium

Anneleen RummensThom SnaphaanWim HardynsLieven PauwelsDirk Van den PoelNico Van de Weghe

Root cause analysis of compressor failure by machine learning

Bram SteurtewagenDirk Van den Poel

The role of marketer-generated content in customer engagement marketing

Matthijs MeireKelly HewettMichel BallingsV. KumarDirk Van den Poel

A1 Journal Article in JOURNAL OF MARKETING

2018

A Marketing perspective on social media usefulness

Matthijs MeireDirk Van den Poel

Advanced geomarketing modeling techniques for retail networks

Matthias De BeuleDirk Van den PoelNico Van de Weghe

Dynamics between social media engagement, firm-generated content, and live and time-shifted TV viewing

Vijay ViswanathanEdward C. MalthouseEwa MaslowskaSteven HoornaertDirk Van den Poel

A1 Journal Article in JOURNAL OF SERVICE MANAGEMENT

Evaluating the importance of different communication types in romantic tie prediction on social media

Matthias BogaertMichel BallingsDirk Van den Poel

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Harnessing the power of social media in predictive analytics

Matthias BogaertDirk Van den PoelMichel Ballings

Integration of customer data in a fleet scheduling optimization problem

Dauwe VercamerDirk Van den Poel

Latency measurement of fine-grained operations in benchmarking distributed stream processing frameworks

Giselle van DongenBram SteurtewagenDirk Van den Poel

The value of social media for marketing and innovation

Steven HoornaertDirk Van den Poel

2017

bayesQR : a Bayesian approach to quantile regression

Dries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF STATISTICAL SOFTWARE

Identifying new product ideas : waiting for the wisdom of the crowd or screening ideas in real time

Steven HoornaertMichel BallingsEdward C MalthouseDirk Van den Poel

A1 Journal Article in JOURNAL OF PRODUCT INNOVATION MANAGEMENT

Identifying soccer players on Facebook through predictive analytics

Matthias BogaertMichel BallingsMartijn HostenDirk Van den Poel

A1 Journal Article in DECISION ANALYSIS

Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination

Andrey VolkovDries BenoitDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis

Matthias BogaertMichel BallingsRob BergmansDirk Van den Poel

The added value of social media data in B2B customer acquisition systems : a real-life experiment

Matthijs MeireMichel BallingsDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

2016

Equity price direction prediction for day trading ensemble classification using technical analysis indicators with interaction effects

Dirk Van den PoelCeline ChestermanMaxim KoppenMichel Ballings

Evaluating the Importance of Different Communication Types in Tie Strength Prediction on Social Media

Matthias BogaertMichel BallingsDirk Van den Poel

Identification of interdisciplinary ideas

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in INFORMATION PROCESSING & MANAGEMENT

Integrating expert knowledge and multilingual web crawling data in a lead qualification system

Jeroen D'HaenDirk Van den PoelDirk ThorleuchterDries Benoit

A1 Journal Article in DECISION SUPPORT SYSTEMS

On methods for prediction based on complex data with missing values and robust principal component analysis

Holger Cevallos ValdiviezoStefan Van AelstDirk Van den Poel

Outlier-robust Bayesian multinomial choice modeling

Dries BenoitStefan Van AelstDirk Van den Poel

A1 Journal Article in JOURNAL OF APPLIED ECONOMETRICS

Predicting consumer load profiles using commercial and open data

Dauwe VercamerBram SteurtewagenDirk Van den PoelFrank Vermeulen

A1 Journal Article in IEEE TRANSACTIONS ON POWER SYSTEMS

Social media optimization: identifying an optimal strategy for increasing network size on Facebook

Michel BallingsDirk Van den PoelMatthias Bogaert

A1 Journal Article in OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

The added value of auxiliary data in sentiment analysis of Facebook posts

Matthijs MeireMichel BallingsDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

The added value of Facebook friends data in event attendance prediction

Matthias BogaertMichel BallingsDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

2015

Assessing the principles of spatial competition between stores within a retail network

Matthias De BeuleDirk Van den PoelNico Van de Weghe

A1 Journal Article in APPLIED GEOGRAPHY

CRM in social media: predicting increases in Facebook usage frequency

Michel BallingsDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Does the use of solar and wind energy increase retail prices in Europe? Evidence from EU-27

Gyanendra Singh SisodiaIsabel SoaresPaula FerreiraSanjay BanerjiDirk Van den PoelManish Kumar

Evaluating multiple classifiers for stock price direction prediction

Michel BallingsDirk Van den PoelNathalie HespeelsRuben Gryp

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Idea mining for web-based weak signal detection

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in FUTURES

Preventing customers from running away! Exploring generalized additive models for customer churn prediction

Kristof CoussementDries BenoitDirk Van den Poel

The status of energy price modelling and its relevance to marketing in emerging economies

Gyanendra SisodiaIsabel SoaresSanjay BanerjiDirk Van den Poel

2014

Advances and applications in Ensemble Learning

Michel BallingsDirk Van den Poel

An extended Huff-model for robustly benchmarking and predicting retail network performance

Matthias De BeuleDirk Van den PoelNico Van de Weghe

A1 Journal Article in APPLIED GEOGRAPHY

Cash demand forecasting in ATMs by clustering and neural networks

K VenkateshV RaviAnita PrinzieDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Deep habits in consumption: a spatial panel analysis using scanner data

Benjamin VerhelstDirk Van den Poel

A1 Journal Article in EMPIRICAL ECONOMICS

Quantitative cross impact analysis with latent semantic indexing

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Semantic compared cross impact analysis

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Semantic weak signal tracing

Dirk ThorleuchterT SchejaDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Using text summarizing to support planning of research and development

Dirk ThorleuchterDirk Van den Poel

2013

A novel solution approach for large-scale VRP with stochastic customers

Dauwe VercamerDirk Van den PoelBirger Raa

Analyzing website content for improved R&T collaboration planning

Dirk ThorleuchterDirk Van den Poel

Enhanced decision support in credit scoring using Bayesian binary quantile regression

Vera MiguéisDries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity

Philippe BaeckeDirk Van den Poel

A1 Journal Article in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Kernel factory: an ensemble of kernel machines

Michel BallingsDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework

Jeroen D'HaenDirk Van den Poel

A1 Journal Article in INDUSTRIAL MARKETING MANAGEMENT

Predicting customer profitability during acquisition: finding the optimal combination of data source and data mining technique

Jeroen D'HaenDirk Van den PoelDirk Thorleuchter

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Protecting research and technology from espionage

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Quantile regression for database marketing: methods and applications

Dries BenoitDirk Van den Poel

Bookchapter in Advanced database marketing : innovative methodologies and applications for managing customer relationships

Technology classification with latent semantic indexing

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

The dangers of using intention as a surrogate for Retention in brand positioning decision support systems

Michel BallingsDirk Van den Poel

Using eye-tracking data of advertisement viewing behavior to predict customer churn

Michel BallingsDirk Van den Poel

Weak signal identification with semantic web mining

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Web mining based extraction of problem solution ideas

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in Expert Systems with Applications

2012

A divide-and-conquer analysis of very large asymmetric vehicle routing problems

Dauwe VercamerDirk Van den PoelBirger Raa

A VNS for the real-life asymmetric large-scale MTSP with stochastic customers

Dauwe VercamerDirk Van den PoelBirger Raa

Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

Dries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF APPLIED ECONOMETRICS

Customer event history for churn prediction: how long is long enough?

Michel BallingsDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Extracting information from sequences of financial ratios with Markov for discrimination : an application to bankruptcy prediction

Andrey VolkovDirk Van den Poel

Extraction of ideas from microsystems technology

Dirk ThorleuchterDirk Van den Poel

Granular deleting in multi level security models : an electronic engineering approach

Dirk ThorleuchterGerhard WeckDirk Van den Poel

Improved emergency management by a loosely coupled logistic system

Dirk ThorleuchterJoachim SchulzeDirk Van den Poel

Improved multilevel security with latent semantic indexing

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Improving customer churn prediction by data augmentation using pictorial stimulus-choice data

Michel BallingsDirk Van den PoelEmmanuel Verhagen

Improving customer retention in financial services using kinship network information

Dries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Including spatial interdependence in customer acquisition models: a cross-category comparison

Philippe BaeckeDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Incorporating predictors based on sequence analysis techniques in bankruptcy prediction modeling

Andrey VolkovDirk Van den Poel

Mining social behavior ideas of Przewalski horses

Dirk ThorleuchterSarah HerberzDirk Van den Poel

Modeling partial customer churn: on the value of first product-category purchase sequences

Vera L MigueisDirk Van den PoelAS CamanhoJFE Cunha

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Predicting e-commerce company success by mining the text of its publicly-accessible website

Dirk ThorleuchterDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences

Vera MiguéisDirk Van den PoelAS CamanhoJFE Cunha

A1 Journal Article in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION

Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models

Koen De BockDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Temporary staffing services: a data mining perspective

Jeroen D'HaenDirk Van den Poel

The role of seed money and threshold size in optimizing fundraising campaigns: past behavior matters!

Griet VerhaertDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Usability based modeling for advanced IT-security : an electronic engineering approach

Dirk ThorleuchterGerhard WeckDirk Van den Poel

Using NMF for analyzing war logs

Dirk ThorleuchterDirk Van den Poel

Using web data for acquiring profitable customers

Jeroen D'HaenDirk Van den Poel

Using webcrawling of publicly available websites to assess E-commerce relationships

Dirk ThorleuchterDirk Van den Poel

2011

An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Koen De BockDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

bayesQR: Bayesian quantile regression

Dries BenoitRahim Al-HamzawiKeming YuDirk Van den Poel

Companies website optimising concerning consumer's searching for new products

Dirk ThorleuchterDirk Van den Poel

Data augmentation by predicting spending pleasure using commercially available external data

Philippe BaeckeDirk Van den Poel

A1 Journal Article in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Empathy as added value in predicting donation behavior

Griet VerhaertDirk Van den Poel

A1 Journal Article in JOURNAL OF BUSINESS RESEARCH

Essays on Bayesian quantile regression using Laplace-like distributions with applications in economics

Dries BenoitDirk Van den Poel

Essays on text mining for improved decision making

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

High granular multi-level-security model for improved usability

Dirk ThorleuchterDirk Van den Poel

Improving campaign success rate by tailoring donation requests along the donor lifecycle

Griet VerhaertDirk Van den Poel

A1 Journal Article in JOURNAL OF INTERACTIVE MARKETING

Incorporating neighborhood effects in customer relationship management models

Philippe BaeckeDirk Van den Poel

LSI based profitability prediction of new customers

Dirk Van den PoelDirk ThorleuchterAnita Prinzie

Modeling complex longitudinal consumer behavior with dynamic Bayesian networks: an acquisition pattern analysis application

Anita PrinzieDirk Van den Poel

A1 Journal Article in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

RFM variables revisited using quantile regression

Michel BallingsDries BenoitDirk Van den Poel

Semantic technology classification : a defence and security case study

Dirk ThorleuchterDirk Van den Poel

2010

A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

A1 Journal Article in TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Enhancing database marketing with ensemble learning

Koen De BockDirk Van den Poel

Ensemble classification based on generalized additive models

Koen De BockKristof CoussementDirk Van den Poel

A1 Journal Article in COMPUTATIONAL STATISTICS & DATA ANALYSIS

Ensembles of probability estimation trees for customer churn prediction

Koen De BockDirk Van den Poel

Extracting consumers needs for new products a web mining approach

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers. R Package version 1.11.

Koen De BockKristof CoussementDirk Van den Poel

Improved marketing decision making in a customer churn prediction context using generalized additive models

Kristof CoussementDries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Improving purchasing behavior predictions by data augmenting with situational variables

Philippe BaeckeDirk Van den Poel

A1 Journal Article in INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Mining ideas from textual information

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

MiningiInnovative Ideas to support new product research and development

Dirk ThorleuchterDirk Van den PoelAnita Prinzie

Predicting decisions to donate and generosity in real-life: the added value of including measures of empathy

Griet VerhaertDirk Van den Poel

Predicting website audience demographics for web advertising targeting using multi-website clickstream data

Koen De BockDirk Van den Poel

A1 Journal Article in FUNDAMENTA INFORMATICAE

The kinked demand curve and price rigidity: evidence from scanner data*

Maarten DosscheFreddy HeylenDirk Van den Poel

A1 Journal Article in SCANDINAVIAN JOURNAL OF ECONOMICS

The role of database marketing in improving direct mail fundraising

Griet VerhaertDirk Van den Poel

The Role of Seed Money and Threshold Size in Optimizing Fundraising Campaigns: Past Behavior Matters!

Griet VerhaertDirk Van den Poel

2009

Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services

Dries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Comparing Random Forests and Random Multinomial Logit to Rotation Forest and the New Rotation Multinomial Logit

Anita PrinzieDirk Van den Poel

Demographic Classification of Anonymous Web Site Visitors Using Click Stream Information: A Practical Method for Supporting Online Advertising

Koen De BockDirk Van den Poel

Dynamic Bayesian Networks for Acquisition Pattern Analysis: a financial-services cross-sell application

Anita PrinzieDirk Van den Poel

Handling class imbalance in customer churn prediction

Jonathan BurezDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

Kristof CoussementDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

2008

Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

Kristof CoussementDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Improving customer complaint management by automatic email classification using linguistic style features

Kristof CoussementDirk Van den Poel

Improving customer complaint management by automatic email classification using linguistic style features as predictors

Kristof CoussementDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Integrating the voice of customers through call center emails into a decision support system for chum prediction

Kristof CoussementDirk Van den Poel

A1 Journal Article in INFORMATION & MANAGEMENT

Random forests for multiclass classification: Random MultiNomial Logit

Anita PrinzieDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department

Jonathan BurezDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

2007

Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments

Bart LarivièreDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Combining Joint Optimization of Customer Segmentation and Marketing Communications Policy to Maximize (poster presentation)

Griet VerhaertDirk Van den Poel

Combining Unstructured/Structured information into a traditional churn prediction model (poster presentation)

Kristof CoussementDirk Van den Poel

CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services

Jonathan BurezDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Defining, predicting and preventing customer churn in contractual settings

Jonathan BurezDirk Van den Poel

Internet banking as a means to reduce customer churn: a field experiment

Jonathan BurezDirk Van den Poel

naam Integrating the voice of customers through call center emails into a churn predictions system

Kristof CoussementDirk Van den Poel

Predicting customer loyalty using the internal transactional database

Wouter BuckinxGeert VerstraetenDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models

Anita PrinzieDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Random multiclass classification: generalizing random forests to random MNL and random NB

Anita PrinzieDirk Van den Poel

2006

Bayesian kernel based classification for financial distress detection

T VAN GESTELB BAESENSJAK SUYKENSDirk Van den PoelDE BAESTAENSM WILLEKENS

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Exploiting randomness for feature selection in multinomial logit: A CRM cross-sell application

Anita PrinzieDirk Van den Poel

A1 Journal Article in ADVANCES IN DATA MINING

Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM

Anita PrinzieDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models

Anita PrinzieDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Investigating the lifecycle event of moving in together: implications for retail banking

Bart LarivièreDirk Van den Poel

The kinked demand curve and price rigidity: evidence from scanner data

M DOSSCHEFreddy HeylenDirk Van den Poel

The kinked demand curve and price rigidity: evidence from scanner data

Maarten DOSSCHEFreddy HeylenDirk 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

Geert VerstraetenDirk Van den Poel

Bookchapter in Published in Proceedings of the 6th Industrial Conference on Data Mining (ICDM)

2005

Constrained optimization of data-mining problems to improve model performance: A direct-marketing application

Anita PrinzieDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting

Wouter BuckinxDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Description and prediction of customer behavior by using sequential information for analytical Customer Relationship Management : exploiting sequential and evolutionary patterns for supporting cross-selling and customer-attrition strategies

Anita PrinzieDirk Van den Poel

Investigating the impact of complaint handling on subsequent behavior by using survival analysis techniques

Bart LarivièreDirk Van den Poel

Investigating the post-complaint period by means of survival analysis

Bart LarivièreDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Issues in predictive modeling of individual customer behavior : applications in targeted marketing and consumer credit scoring

Geert VerstraetenDirk Van den Poel

Neural network survival analysis for personal loan data

B BAESENST VAN GESTELM STEPANOVADirk Van den PoelJ VANTHIENEN

A1 Journal Article in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Predicting customer retention and profitability by using random forests and regression forests techniques

Bart LarivièreDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Predicting online-purchasing behaviour

Dirk Van den PoelWouter Buckinx

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

The impact of sample bias on consumer credit scoring performance and profitability

Geert VerstraetenDirk Van den Poel

A1 Journal Article in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Towards understanding, predicting and preventing customer churn in the financial services industry

Bart LarivièreDirk Van den Poel

Using predictive modeling for targeted marketing in a non-contractual retail setting

Wouter BuckinxDirk Van den Poel

Why promotion strategies based on market basket analysis do not work

Bernd VindevogelDirk Van den PoelG WETS

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

2004

Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

B BAESENSGeert VerstraetenDirk Van den PoelM EGMONT-PETERSENPatrick Van KenhoveJ VANTHIENEN

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Customer attrition analysis for financial services using proportional hazard models

Dirk Van den PoelBart Larivière

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Customer-adapted coupon targeting using feature selection

Wouter BuckinxE MOONSDirk Van den PoelG WETS

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market

Dirk Van den PoelJ DE SCHAMPHELAEREG WETS

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

In search of actual retention behavior: the value of satisfied customers and an excellent service quality

Bart LarivièreDirk Van den Poel

Investigating purchasing patterns for financial services using Markov and MTD models

Anita PrinzieDirk 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

Bart LarivièreDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Joint optimization of customer segmentation and marketing policy to maximize long-term profitability

JJ JONKERN PIERSMADirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Manufacturer-retailer promotion competition: customisation of coupon target selection

Wouter BuckinxDirk Van den Poel

Quantifying credit-scoring performance

Geert VerstraetenDirk Van den Poel

The impact of product features and intermediaries on customer retention

Bart LarivièreDirk Van den Poel

The two benefits of mere-measurement

Jonathan BurezDirk Van den Poel

2003

Comparing alternative sequential analysis methods for cross-selling in financial services marketing

Anita PrinzieDirk Van den Poel

Bookchapter in Data mining IV

Databankgestuurd onderzoek voor Customer Relationship Management

Dirk Van den Poel

Bookchapter in Marktonderzoek: methoden en toepassingen

Manufacturer retailer promotion competition: customization of coupon target selection

Wouter BuckinxDirk Van den Poel

Bookchapter in Data mining IV

Predicting mail-order repeat buying: which variables matter?

Dirk Van den Poel

A2 Journal Article in TIJDSCHRIFT VOOR ECONOMIE EN MANAGEMENT

Quantifying credit scoring performance

Geert VerstraetenDirk Van den Poel

Bookchapter in Data mining IV

The impact of intermediaries and product characteristics on customer retention

Bart LarivièreDirk Van den Poel

Bookchapter in Data mining IV

2002

Attrition in the Financial Services Industry

Bart LarivièreDirk Van den PoelPatrick Van Kenhove

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

B BAESENSS VIAENEDirk Van den PoelJ VANTHIENENG DEDENE

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Data-based Retention Modelling for Customer Relationship Management in The Financial Services Industry

Bart LarivièreDirk Van den PoelPatrick Van Kenhove

Detecting sequential patterns for cross-selling fast moving consumer goods

Geert VerstraetenDirk Van den PoelAnita PrinziePatrick Van Kenhove

Direct and Indirect Effects of Retail Promotions on Sales and Profits

Jan De SchamphelaereDirk Van den PoelG WETSPatrick Van Kenhove

Improving response prediction in direct marketing by optimizing for specific mailing depths

Dirk Van den PoelAnita PrinziePatrick Van Kenhove

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing

S ViaeneB BaesensG DedeneJ VanthienenDirk Van den Poel

Retentie als middel voor winst-optimalisatie voor financiële instellingen

Bart LarivièreDirk Van den Poel

A4 Journal Article in MARKETEER (DIEGEM)

Targeting Long-Life Customers: Towards a Segmented CRM Approach

Geert VerstraetenB BAESENSDirk Van den PoelM EGMONT-PETERSENPatrick Van KenhoveJ VANTHIENEN

Using machine learning techniques to predict defection of top clients

Wouter BuckinxB BaesensDirk Van den PoelPatrick Van KenhoveJ Vanthienen

2001

De relatie tussen marktgericht management en performantie

N De SchryverDirk Van den Poel

A4 Journal Article in MARKETEER (DIEGEM)

Knowledge discovery in a direct marketing case using least squares support vector machines.

S VIAENEB BAESENST VAN GESTELJ SUYKENSDirk Van den PoelJ VANTHIENENB DE MOORG DEDENE

A1 Journal Article in INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

The Bayesian Evidence Framework for Database Marketing Modeling using both RFM and Non-RFM Predictors.

S VIAENEB BAESENSDirk Van den PoelJ VANTHIENENG DEDENE

Wrapped input selection using multilayer perceptions for repeat-purchase modeling in direct marketing

S ViaeneB BAESENSDirk Van den PoelG DedeneJ Vanthienen

A2 Journal Article in INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE & MANAGEMENT

2000

Knowledge Discovery using least squares support vector machine classifiers: a direct marketing case

B BAESENSS VIAENET VAN GESTELJAK SUYKENSDirk Van den PoelJ VANTHIENENB DE MOORG DEDENE

Marketingmodellen

Dirk Van den Poel

Bookchapter in Handboek marketing

Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application

S VIAENEB BAESENSDirk Van den PoelG DEDENEJ VANDENBULCKEJ VANTHIENEN

Bookchapter in Data mining II

1999

Consumer acceptance of the Internet as a channel of distribution.

Dirk Van den PoelJ LEUNIS

A1 Journal Article in JOURNAL OF BUSINESS RESEARCH

Customer-Oriented Conceptual Model of Repeat Direct-Mail Patronage Behavior

Dirk Van den PoelJ LEUNIS

Predicting Mail-Order Repeat Buying: Which Variables Matter?

Dirk Van den PoelM DEKIMPEJ LEUNIS

1998

Database marketing modeling for financial services using hazard rate models

Dirk Van den PoelJ Leunis

Purchase prediction in database marketing with the ProbRough system

Dirk Van den PoelZ PIASTA

Response Model Variables: Which Do You Choose?

Dirk Van den Poel

Rough Sets for Database Marketing

Dirk Van den Poel

Bookchapter in L. Polkowski & A. Skowron (eds.), Rough Sets in Data Mining and Knowledge Discovery I/II, series Soft Computing, Physica Verlag (Springer), Chapter 17, 324-335

1997

Effect of Database Marketing on Interpurchase Times of Financial Products

Dirk Van den PoelJ LEUNIS

1996

Data Mining for Database Marketing: a mail-order company application

Dirk Van den PoelG WETS

Mail-order versus retail store buying - The role of perceived risk and risk reduction strategies.

Dirk Van den PoelJ Leunis

1995

The impact of price, branding and money-back guarantee on store choice

Dirk Van den PoelJ LEUNIS

1994

Mail-order versus retail store buying - The role of perceived risk and risk reduction strategies

Dirk Van den PoelJ LEUNIS