HARNESSING VALUE THROUGH STREAMING DATA ANALYTICS

EC2019 Volume 14

Xiao Liu, Volume Co-editor

Hongyue Sun, Volume Co-editor

Lulu Kang, Volume Co-editor

Anne G. Robinson, Series Editor

Recent advances in sensing technologies and imaging systems have spurred interest in analyzing high-dimensional, streaming data from real-world complex systems. In the context of big data, streaming data are generated by many different sources at high speed. These data capture the dynamic behaviors and causalities of the underlying processes and provide unprecedented opportunities to model, monitor, detect, and predict incipient and critical changes in a process in (near) real time.

This Editor's Cut highlights recently published work by considering four subtopics:

1. Streaming Data in Quality and Reliability
2. Streaming Data in Energy
3. Streaming Data in Transportation
4. Data Generation, Analysis, and Visualization