Kristof Coussement

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Leveraging fine-grained transaction data for customer life event predictions

Arno De Caigny, Kristof Coussement, Koen W. De Bock, 2020, Decis. Support Syst..

Data-Driven Customer Centricity: CRM Predictive Analytics

Kristof Coussement, Koen W. De Bock, Othman Boujena, 2015 .

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

Kristof Coussement, Dirk Van den Poel, 2007 .

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

Kristof Coussement, Dirk Van den Poel, Dries F. Benoit, 2010, Expert Syst. Appl..

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis pdf

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019, ArXiv.

Reducing inferior member community participation using uplift modeling: Evidence from a field experiment

Wouter Verbeke, Kristof Coussement, Steven Debaere, 2019, Decis. Support Syst..

Targeting customers for profit: An ensemble learning framework to support marketing decision-making

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2019, Inf. Sci..

Data Accuracy's Impact on Segmentation Performance: Benchmarking RFM Analysis, Logistic Regression, and Decision Trees

Kristof Coussement, Koen W. De Bock, Filip Van den Bossche, 2012 .

Special Session: Big Data Analytics for Marketing (Contributed Session by the IÉSEG Center for Marketing Analytics (ICMA))

Kristof Coussement, Koen W. De Bock, 2017 .

A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection

Kristof Coussement, Dries F. Benoit, Michael Antioco, 2015, Decis. Support Syst..

Integrating Behavioral, Product, and Customer Data in Hybrid Recommendation Systems Based on Factorization Machines

Kristof Coussement, Koen De Bock, Stijn Geuens, 2015 .

An Overview of Multiple Classifier Systems Based on Generalized Additive Models

Kristof Coussement, K. W. De Bock, D. Cielen, 2018 .

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

Annelies Raes, Arno De Caigny, Kristof Coussement, 2020, Decis. Support Syst..

Approaches for credit scorecard calibration: An empirical analysis

Stefan Lessmann, Kristof Coussement, Ross W. Gayler, 2017, Knowl. Based Syst..

Getting Started with IBM SPSS Statistics

Karine Charry, Kristof Coussement, Nathalie Demoulin, 2016 .

Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships

Kristof Coussement, Koen W. De Bock, Scott A. Neslin, 2013 .

Identifying influencers on social media

Kristof Coussement, Geoffrey N. Soutar, Paul Harrigan, 2021, Int. J. Inf. Manag..

Marketing Research with IBM® SPSS Statistics: A Practical Guide

Karine Charry, Kristof Coussement, Nathalie Demoulin, 2016 .

A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application

Kristof Coussement, Wouter Buckinx, K. Coussement, 2011, Eur. J. Oper. Res..

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

Kristof Coussement, Dirk Van den Poel, D. V. Poel, 2008, Inf. Manag..

Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

Kristof Coussement, Koen W. De Bock, K. Coussement, 2013 .

A survey and benchmarking study of multitreatment uplift modeling

Wouter Verbeke, Kristof Coussement, Diego Olaya, 2020, Data Mining and Knowledge Discovery.

A framework for configuring collaborative filtering-based recommendations derived from purchase data

Kristof Coussement, Koen W. De Bock, Stijn Geuens, 2018, Eur. J. Oper. Res..

Acceptance of text-mining systems: The signaling role of information quality

Kristof Coussement, Nathalie Demoulin, K. Coussement, 2018, Inf. Manag..

A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry

Stefan Lessmann, Kristof Coussement, Geert Verstraeten, 2017, Decis. Support Syst..

Incorporating textual information in customer churn prediction models based on a convolutional neural network

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019 .

Ensemble Learning in database marketing

Kristof Coussement, Koen W. De Bock, 2013 .

Improving direct mail targeting through customer response modeling

Kristof Coussement, Dries F. Benoit, Paul Harrigan, 2015, Expert Syst. Appl..

Multi-label classification of member participation in online innovation communities

Kristof Coussement, Steven Debaere, Tom De Ruyck, 2018, Eur. J. Oper. Res..

Employing SAS ® Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management.

Kristof Coussement, 2008 .

Text mining for database marketing

Kristof Coussement, K. W. De Bock, 2013 .

Issues in Customer Intelligence: Data and Method Creativity to Improve Marketing Decision Making

Kristof Coussement, K. Coussement, 2008 .

Managing Information Overload: The Case of Online Product Review Categorization

Kristof Coussement, Michael Antioco, 2015 .

Marketing Research with SAS Enterprise Guide

Karine Charry, Kristof Coussement, Nathalie Demoulin, 2011 .

Evaluation of Data Source Combination and Feature Importance in Recommendation Systems: A Practical Framework within an E-Commerce Setting

Kristof Coussement, Koen W. De Bock, Stijn Geuens, 2016 .

Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2015, ECIS.

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

Arno De Caigny, Kristof Coussement, Koen W. De Bock, 2018, Eur. J. Oper. Res..

Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias

Kristof Coussement, Michael Antioco, K. Coussement, 2018, Int. J. Inf. Manag..

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

Kristof Coussement, Dirk Van den Poel, D. V. Poel, 2009, Expert Syst. Appl..

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2020, Eur. J. Oper. Res..

Ensemble classification based on generalized additive models

Kristof Coussement, Koen W. De Bock, Dirk Van den Poel, 2010, Comput. Stat. Data Anal..

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

Kristof Coussement, Koen W. De Bock, Dirk Van den Poel, 2010 .

Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors

Kristof Coussement, Dirk Van den Poel, D. V. Poel, 2007 .

Faculteit Economie En Bedrijfskunde Hoveniersberg 24 B-9000 Gent Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-selection Techniques Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparin

Kristof Coussement, Dirk Van den Poel, D. V. Poel, 2022 .

Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase

Krzysztof Kluza, Kristof Coussement, Krzysztof Dyczkowski, 2021, Sensors.

Interpretable data science for decision making

Kristof Coussement, Dries F. Benoit, D. Benoit, 2021, Decis. Support Syst..

Preventing Customers from Running Away! Exploring Generalized Additive Models for Customer Churn Prediction

Kristof Coussement, Dirk Van den Poel, Dries F. Benoit, 2015 .

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

Kristof Coussement, Dirk Van den Poel, 2007 .