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Predictive Analytics for Customer Intelligence: Data Augmentation

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.

Date:1 Sep 2013 →  30 Jun 2014
Keywords:network growth, user upsell, customer intelligence, predictive analytics, data augmentation
Disciplines:Statistics and numerical methods, Applied mathematics in specific fields, Artificial intelligence, Economic history, Microeconomics, Management, Tourism, Cognitive science and intelligent systems, Applied economics, Macroeconomics and monetary economics, Business administration and accounting