Program for stream Business Analytics

TA-11: Uplift Modelling
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Sebastian Maldonado

• Profit-driven decision tree approaches for uplift modeling
  Floris Devriendt, George Petrides, Stefan Lessmann, Wouter Verbeke
• Sampling techniques for uplift modeling for improved stability and performance
  Dimitri Robert, Floris Devriendt, George Petrides, Wouter Verbeke
• A survey & experimental evaluation of multiple treatment uplift modeling
  Diego Andres Olaya Lasso, Wouter Verbeke
• Profit-based credit scoring based on robust optimization and support vector machines
  Sebastian Maldonado, Julio López

TB-11: Customer Relationship Management
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Dries Benoit

• Integrating textual information in customer churn prediction models: a deep learning approach
  Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
• Time series classification for early churn prediction in dynamic networks
  Tine Van Calster, María Óskarsdóttir, Bart Baesens, Wilfried Lemahieu
• Paradoxes of the retention reaction curve
  Igor Sloev
• Social ties in customer referral programs
  Iris Roelens, Philippe Baecke, Dries Benoit

TC-11: Fraud Analytics
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Cristian Bravo

• Accounting fraud analytics for effective corporate regulation
  Maria Jofre
• Including fine-grained features in customs fraud detection
  Jellis Vanhoeyveld, David Martens, Bruno Peeters
• From one-class to two-class classification by incorporating expert knowledge
  Dieter Oosterlinck, Dries Benoit, Philippe Baecke
• A text analytics-based decision support system for detecting fraudulent car insurance claims
  Cristian Bravo, Andres Medina, Rodrigo Joannon, Richard Weber

TD-11: Sales Forecasting
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Kristof Coussement

• Comparing the ability of Twitter and Facebook data to predict box office sales
  Matthias Bogaert, Michel Ballings, Roel van den Broek, Asil Oztekin
• Gaussian processes for daily demand prediction in the hospitality industry
  Wai Kit Tsang, Dries Benoit
• Container dwell time prediction via analytics techniques
  Rosa G. González-Ramírez, Sebastian Maldonado
• Design and development of a business diagnostico tool
  Jairo César Gómez Acero, Stefany Murillo, Eduardo Rodriguez Araque

WA-11: Novel Applications of Analytics
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Wouter Verbeke

• The beneficial effect of ensemble learning in predicting student drop-out in online learning environment
  Trung Hoai Minh Phan, Kristof Coussement, Dries Benoit, Arno De Caigny, Annelies Raes
• Higher order mining for incremental root cause analysis
  Eduardo e Oliveira, Vera Miguéis, José Borges
• Motivating creativity with a carrot and a stick - creativity-weighted productivity, relative performance information, and perceived competition
  Peter Rötzel, Burkhard Pedell
• Towards accurate and scalable metrics for predicting user engagement on tablets by combining multimodal biosensor data with behavioral interaction patterns
  Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck

WB-11: E-Commerce & Social Media
Stream: Business Analytics
Room: SOUTH BUILDING UV S111 (building 0)
Chair(s): Stiene Praet

• Collecting and analyzing customers experiences from Trip Advisor social media
  Carla Vairetti
• Dfficiency in multi-channel retail chain store: a two-stage DEA approach with environmental factors and e-commerce indicators
  Cristina Ciobanu, Kristof Coussement, Koen W. De Bock
• Ssocial network analytics in micro-lending
  María Óskarsdóttir, Cristian Bravo, Bart Baesens, Jan Vanthienen
• A data mining approach to analyze political communication on Twitter
  Stiene Praet, Walter Daelemans, Tim Kreutz, Peter Van Aelst, Stefaan Walgrave, David Martens