Michel Ballings
Michel Ballings
The University of Tennessee, department of Business Analytics and Statistics
Verified email at utk.edu - Homepage
Title
Cited by
Cited by
Year
Evaluating multiple classifiers for stock price direction prediction
M Ballings, D Van den Poel, N Hespeels, R Gryp
Expert Systems with Applications 42 (20), 7046-7056, 2015
2282015
Customer Event History for Churn Prediction: How long is long enough?
M Ballings, DV Poel
Expert Systems with Applications, 2012
642012
Identifying new product ideas: waiting for the wisdom of the crowd or screening ideas in real time
S Hoornaert, M Ballings, EC Malthouse, D Van den Poel
Journal of Product Innovation Management 34 (5), 580-597, 2017
572017
CRM in social media: Predicting increases in Facebook usage frequency
M Ballings, D Van den Poel
European Journal of Operational Research 244 (1), 248-260, 2015
532015
The added value of auxiliary data in sentiment analysis of Facebook posts
M Meire, M Ballings, D Van den Poel
Decision Support Systems 89, 98-112, 2016
382016
AUC: Threshold independent performance measures for probabilistic classifiers. 2013
M Ballings, D Van den Poel
URL http://CRAN. R-project. org/package= AUC. R package version 0.3. 0, 2017
33*2017
Social media optimization: Identifying an optimal strategy for increasing network size on Facebook
M Ballings, D Van den Poel, M Bogaert
Omega 59, 15-25, 2016
262016
The added value of social media data in B2B customer acquisition systems: A real-life experiment
M Meire, M Ballings, D Van den Poel
Decision Support Systems 104, 26-37, 2017
252017
Kernel Factory: An ensemble of kernel machines
M Ballings, D Van den Poel
Expert Systems with Applications 40 (8), 2904-2913, 2013
232013
Cause marketing and customer profitability
M Ballings, H McCullough, N Bharadwaj
Journal of the Academy of Marketing Science 46 (2), 234-251, 2018
202018
The added value of Facebook friends data in event attendance prediction
M Bogaert, M Ballings, D Van den Poel
Decision Support Systems 82, 26-34, 2016
202016
The role of marketer-generated content in customer engagement marketing
M Meire, K Hewett, M Ballings, V Kumar, D Van den Poel
Journal of Marketing 83 (6), 21-42, 2019
132019
Evaluating the importance of different communication types in romantic tie prediction on social media
M Bogaert, M Ballings, D Van den Poel
Annals of Operations Research 263 (1-2), 501-527, 2018
132018
Evaluating multi-label classifiers and recommender systems in the financial service sector
M Bogaert, J Lootens, D Van den Poel, M Ballings
European Journal of Operational Research 279 (2), 620-634, 2019
72019
Improving customer churn prediction by data augmentation using pictorial stimulus-choice data
M Ballings, D Van den Poel, E Verhagen
Management intelligent systems, 217-226, 2012
62012
Identifying soccer players on Facebook through predictive analytics
M Bogaert, M Ballings, M Hosten, D Van den Poel
Decision Analysis 14 (4), 274-297, 2017
52017
rotationForest: Fit and Deploy Rotation Forest Models
M Ballings, D Van den Poel
http://cran.r-project.org/web/packages/rotationForest/index.html, 2015
32015
Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects
D Van den Poel, C Chesterman, M Koppen, M Ballings
2016 IEEE Congress on Evolutionary Computation (CEC), 3455-3462, 2016
22016
Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn
M Ballings, D Van den Poel
2013 IEEE 13th International Conference on Data Mining Workshops, 201-205, 2013
22013
RFM Variables Revisited Using Quantile Regression
M Ballings, D Benoit, D Van den Poel
2011 11th IEEE International Conference on Data Mining Workshops, 1163-1169, 2011
22011
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Articles 1–20