A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise

A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise

Abstract In manufacturing, the technology to capture and store large volumes of data developed earlier and faster than corresponding capabilities to analyze, interpret, and apply it. The result for many manufacturers is a collection of unanalyzed data and uncertainty with respect to where to begin....

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Bibliographic Details
Main Authors: Phillip M. LaCasse, Wilkistar Otieno, Francisco P. Maturana
Format: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:Journal of Big Data
Subjects:
Connected Enterprise
Big data
Machine learning
Data reduction
Feature selection
Fuzzy inference
Online Access:http://link.springer.com/article/10.1186/s40537-018-0155-2

Internet

http://link.springer.com/article/10.1186/s40537-018-0155-2

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