64 Big Data Analytics and Statistics I

Tuesday, March 28, 2017: 8:00 AM - 9:30 AM
209 (Henry B. Gonzalez Convention Center)
Description:
The session welcomes contributors that highlight the application of statistics in Big Data Analytics in the process industries. The topics could potentially cover (but are not limited to) the planning of data collection, data pre-processing or management, data summarization to extract useful information, making inferences or predictions, etc. and should demonstrate how the methodology deals with the challenges in the big data setting (the 4Vs) with the goal of improve or optimize the process design or operations. The goal here is to highlight the importance of Statistics in Big Data Analytics applications.

Sponsor:
Topical A: 3rd Big Data Analytics

Chair:
Swee-Teng Chin
Email: SChin@dow.com

Co-Chair:
James Cross III
Email: james.cross@mathworks.com


8:00 AM
(64a) An Alternative Control Chart to Monitor Low Level Count Data
David E. Fitchett and Ruben 't Lam

8:30 AM
(64b) Challenges and Benefits of Aligning and Reconciling Process Data for Seasonal Processing Industries
Nick Depree, Arrian Prince-Pike, Irina Boiarkina, Richard Croy, David I. Wilson and Brent R. Young

9:00 AM
(64c) Big Data Approach to Fault Detection and Diagnosis in Batch Processes Using Nonlinear SVM-Based Feature Selection
Melis Onel, Chris A. Kieslich, Yannis A. Guzman, Christodoulos A. Floudas and Efstratios N. Pistikopoulos
See more of this Group/Topical: Topical A: 3rd Big Data Analytics
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