K. Coussement

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Improving customer retention management through cost-sensitive learning

K. Coussement, Kristof Coussement, 2014 .

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 .

Inferior Member Participation Identification in Innovation Communities: The Signaling Role of Linguistic Style Use

K. Coussement, Steven Debaere, Tom de Ruyck, 2017 .

Taking leaps of faith: Evaluation criteria and resource commitments for early-stage inventions

Phillip H. Kim, K. Coussement, S. Fourné, 2019, Research Policy.

Extending business failure prediction models with textual website content using deep learning

Jochen De Weerdt, K. Coussement, Jochen De Weerdt, 2022, Eur. J. Oper. Res..

Interpretable data science for decision making

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

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..

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..

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..

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..

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

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

Leveraging fine-grained transaction data for customer life event predictions

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

A survey and benchmarking study of multitreatment uplift modeling

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

What makes people share political content on social media? The role of emotion, authority and ideology

K. Coussement, Tina Tessitore, Jason Weismueller, 2021, Comput. Hum. Behav..

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

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

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

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

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..

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

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

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..

What's in a word? Adopting a linguistic-style analysis of western MNCs’ global press releases

K. Coussement, Christiane Prange, M. Antioco, 2023, Journal of World Business.

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

K. Coussement, S. Lessmann, Arno De Caigny, 2023, Annals of Operations Research.

The future of technology in marketing; utopia or dystopia?

K. Coussement, C. Ranaweera, P. Harrigan, 2020, Journal of Marketing Management.

Leadership in innovation communities: The impact of transformational leadership language on member participation

K. Coussement, M. Büttgen, Ellen Weber, 2021, Journal of Product Innovation Management.

A Guide to Graphic Design For Functional versus Experiential Ads

K. Coussement, Tina Tessitore, P. Harrigan, 2023, Journal of Advertising Research.

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..

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..

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

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

Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase

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

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

Kristof Coussement, K. Coussement, 2008 .

Identifying influencers on social media

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

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..

Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach

K. Coussement, W. Verbeke, Arno De Caigny, 2021, Industrial Marketing Management.

Multi-label classification of member participation in online innovation communities

Kristof Coussement, Steven Debaere, Tom De Ruyck, 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..

Improving direct mail targeting through customer response modeling

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

A survey and benchmarking study of multitreatment uplift modeling

K. Coussement, W. Verbeke, Kristof Coussement, 2020, Data Mining and Knowledge Discovery.

Does it pay off to communicate like your online community? Evaluating the effect of content and linguistic style similarity on B2B brand engagement

K. Coussement, Matthijs Meire, Arno De Caigny, 2022, Industrial Marketing Management.

Customer engagement with digitalized interactive platforms in retailing

S. Roy, K. Coussement, P. Harrigan, 2023, Journal of Business Research.

Approaches for credit scorecard calibration: An empirical analysis

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

A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer

K. Coussement, K. W. De Bock, S. Geuens, 2021, Annals of Operations Research.

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..

Ensemble classification based on generalized additive models

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

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 .

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

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

Information sharing and political polarisation on social media: The role of falsehood and partisanship

Richard L. Gruner, K. Coussement, Jason Weismueller, 2023, Information Systems Journal.

Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks

K. Coussement, S. Creemers, Arno De Caigny, 2023, International Journal of Production Research.

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

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

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

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

Marketing Research with IBM® SPSS Statistics: A Practical Guide

Karine Charry, Kristof Coussement, Nathalie Demoulin, 2016 .

Targeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision Making

K. Coussement, S. Lessmann, Kristof Coussement, 2018, Inf. Sci..

A decision support framework to incorporate textual data for early student dropout prediction in higher education

Arno De Caigny, K. Coussement, Kristof Coussement, 2023, Decis. Support Syst..

Data-Driven Customer Centricity: CRM Predictive Analytics

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