The GDELT Project

Scalable Bayesian Non-Negative Tensor Factorization

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).

Read the Full Paper.