Researchers Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, and Lawrence Carin, all of Duke University, explore extracting patterns at massive scale from GDELT in their paper "Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data", presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD2015).
Scalable Bayesian Non-Negative Tensor Factorization
