Big Data Analytics Poster

Chiang, L. H., The Dow Chemical Company
Castillo, I., Dow Inc.

In this poster session, contributions are sought in the area of large-scale analysis algorithms amenable to mining time-resolved process data, as well as to transactional data collected in the course of enterprise-wide operations. The effective use of data-rich sources are of interest for this session, such as images and video feeds, and of information from broadly deployed wireless sensors. Big data Analytics developments that result in novel, hidden insights in process operability and control, improved energy efficiency and process sustainability are also of interest in this poster session. Also of interest are novel means for big data visualization and for conveying ever increasing amounts of information to process operators in real time.



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