scholarly journals Physically Inspired Data Compression and Management for Industrial Data Analytics

2020 ◽  
Vol 2 ◽  
Author(s):  
Ramin Sabbagh ◽  
Zicheng Cai ◽  
Alec Stothert ◽  
Dragan Djurdjanovic
Keyword(s):  
Data Compression ◽  
Data Analytics ◽  
Industrial Data

scholarly journals The New Industrial Data Economy

2019 ◽  
Vol 141 (05) ◽  
pp. 38-41
Author(s):  
Tim Lieuwen ◽  
Bobby Noble
Keyword(s):  
Machine Learning ◽  
Data Analytics ◽  
Data Privacy ◽  
Data Driven ◽  
Computational Power ◽  
Industrial Data ◽  
Data Ownership ◽  
Advanced Analytics ◽  
Industrial Sources ◽  
Access To Data

Data-driven approaches are increasingly valuable as our ability to store massive amounts of it, the computational power to crunch through it, and the advanced analytics to make sense of it have come to maturity. These opportunities have led to the development of major facilities for aggregating, analyzing, and monetizing data from industrial sources. But the promise of Big Data, machine learning, and data analytics is predicated on access to data. This article delves into four distinct but somewhat overlapping challenges at play in terms of access to data: ownership of data, data nationalism, cybersecurity, and data privacy.

Big-data analytics for Arrhythmia Classification using data compression and kernel methods

2015 ◽  
Author(s):  
J.M. Lillo-Castellano ◽  
I. Mora-Jimenez ◽  
R. Moreno-Gonzalez ◽  
M. Montserrat-Garcia-de-Pablo ◽  
A. Garcia-Alberola ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Kernel Methods ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Using Data

Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics

2021 ◽  
pp. 1-1
Author(s):  
Wei Dai ◽  
Xinyu Zhou ◽  
Depeng Li ◽  
Song Zhu ◽  
Xuesong Wang
Keyword(s):  
Data Analytics ◽  
Industrial Data
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