Project

Predictive Analytics for Customer Intelligence: Data Augmentation

Duration
01 September 2013 → 30 June 2014
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Artificial intelligence
  • Social sciences
    • Cognitive science and intelligent systems
    • Applied economics
    • Business administration and accounting
    • Economic history
    • Macroeconomics and monetary economics
    • Management
    • Microeconomics
    • Tourism
Keywords
network growth user upsell customer intelligence predictive analytics data augmentation
 
Project description

Next to algorithm improvement and time window optimization, data augmentation is a strategy for improving the predictive performance of customer behavior models. Data augmentation consists in evaluating the added value of different data types with respect to predictive performance. This project aims to investigate data augmentation in a large social network for predicting user upsell and network growth.