Invited Tutorial Session-Approaches in Big Data Analytics


Description:
This invited session will bring together experts from different departments, including Electrical Engineering, Computer Science, Chemical Engineering, and Statistics. Approaches that deal with the 3V’s (volume, velocity and variety) based on data-driven methods, statistics, machine learning and optimization techniques will be presented in this session. Theoretical development and application of these approaches will be discussed in details. This session will showcase how current big data analytics methods are utilized to improve decision making.

Sponsor:
Topical A: 3rd Big Data Analytics


Chair:
Leo H. Chiang
The Dow Chemical Company
Analytical Technology Center
2301 Brazosport Blvd., B1225
Freeport, TX
77584
Email: HChiang@dow.com

Co-Chair:
Bo Lu
The Dow Chemical Company
Analytical Technology Center
Freeport, TX
77541
Email: blu2@dow.com


Papers:
The Data Analytics Triangle
Kristen Severson, MIT; Richard Braatz, Massachusetts Institute of Technology
Advances in Batch Data Analysis
Marco Reis, University of Coimbra
Statistics for Big Data
Dennis Lin, Penn State
Big Data Analytics Applied to Semiconductor Manufacturing
James Moyne, Applied Materials; Michael Armacost, Applied Materials
Design of Dynamic Experiments
Christos Georgakis, Tufts University
Alamo
Nick Sahinidis, Carnegie Mellon University
Advances in Multivariate Analysis
S. Joe Qin, University of Southern California
Big Data Analytics Approaches Applied to Chemical, Energy and Semiconductor Industries
Thomas F. Edgar, McKetta Department of Chemical Engineering, The University of Texas at Austin
See more of this Group/Topical: Topical A: 3rd Big Data Analytics