Our goal is to define, extract, and analyze features in the increasingly large and complex datasets produced by state- of- the- art simulation. We present frameworks that allow feature-based analysis of large-scale datasets using limited resources and interactive techniques for exploration. LDAV W. Widanagamaachchi, C. Christensen, P.-T. Bremer, V. Pascucci. "Interactive Exploration of Large-scale Time-varying Data using Dynamic Tracking Graphs," In 2012 IEEE Symposium on Large Data Analysis and Visualization (LDAV), pp. 9--17. 2012.