169 Big Data Analytics and Statistics II

Wednesday, April 13, 2016: 10:15 AM - 11:45 AM
335A (Hilton Americas - Houston)

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:
Manufacturing - General
Co-Sponsor(s):
Computing Systems and Technology Division (10)
Chair:
Swee-Teng Chin Email: SChin@dow.com
- indicates paper has an Extended Abstract file available on the online proceeding.





10:59 AM
(169c) Statistics Pattern-Based Big Data Analytics Framework for Iot-Enabled Cybermanufacturing
Jin Wang, Q. Peter He, Anthony Skjellum, Devarshi Shah and Carlos Lemus

See more of this Group/Topical: Topical A: 2nd Big Data Analytics