Title of Journal Paper 2: Data-Driven Analysis of XX

Abstract

We reveal the characteristics of XX using data-driven analysis techniques. By extracting latent patterns from large-scale observational data via machine learning, we show that the dynamics of XX can be reproduced with high accuracy.