Dirk Van den Poel
Dr. Dirk Van den Poel (PhD) is Professor of Data Analytics/Big Data at Ghent University, Belgium. He teaches courses such as Statistical Computing, Big Data, Social Media and Web Analytics, Analytical Customer Relationship Management, Advanced Predictive Analytics, Predictive and Prescriptive Analytics. He co-founded the advanced Master of Science in Marketing Analysis, the first (predictive) analytics master program in the world as well as the Master of Science in Statistical Data Analysis and the Master of Science in Business Engineering/Data Analytics. His major research interests are in the field of analytical CRM (Customer Relationship Management. His methodological interests include ensemble classification methods and big data analytics. He has co-authored 110+ international peer-reviewed (ISI-indexed) publications in journals such as IEEE Transactions on Power Systems, Journal of Applied Econometrics, Journal of Statistical Software, European Journal of Operational Research, and Decision Support Systems.
Keywords: Data Analytics, Streaming Processing Frameworks & Analytics, Internet of Things (IoT) & Industry 4.0, Customer Relationship Management, reinforcement learning
Benoit, Dries, and Dirk Van den Poel. 2017. “bayesQR : a Bayesian Approach to Quantile Regression.” Journal of Statistical Software 76 (7): 1–32. ISI Impact factor: 22.7 (2017) ISI Citations: 2
Ballings, Michel, Dirk Van den Poel, and Matthias Bogaert. 2016. “Social Media Optimization: Identifying an Optimal Strategy for Increasing Network Size on Facebook.” Omega-international Journal of Management Science 59 (A): 15–25. ISI Impact factor: 4.029, category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE, rank: 2/83. ISI Citations: 5
Vercamer, Dauwe, Bram Steurtewagen, Dirk Van den Poel, and Frank Vermeulen. 2016. “Predicting Consumer Load Profiles Using Commercial and Open Data.” IEEE Transactions on Power Systems 31 (5): 3693–3701. ISI Impact factor: 5.68, category: ENGINEERING, ELECTRICAL & ELECTRONIC, rank: 16/260. ISI Citations: 3
D’Haen, Jeroen, Dirk Van den Poel, and Dirk Thorleuchter. 2013. “Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique.” Expert Systems with Applications 40 (6): 2007–2012. ISI Impact factor: 1.965, category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE, rank: 11/79. ISI Citations: 18
Jonker, JJ; Piersma, N; Van den Poel, D. 2004. “Joint optimization of customer segmentation and marketing policy to maximize long-term profitability” EXPERT SYSTEMS WITH APPLICATIONS Volume: 27 Issue: 2 Pages: 159-168 Published: AUG 2004 ISI Citations: 66