A road map for applied data sciences supporting sustainability in advanced manufacturing: the information quality dimensions
Authors:
- Ron S. KenettRKRon S. Kenett
- Avigdor ZonnenshainAZAvigdor Zonnenshain
- Gilead FortunaGFGilead Fortuna
Open Access
- 1 January 2018
- journal article
- Published by Elsevier in Procedia Manufacturing
- Vol. 21, 141-148
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- The information quality framework for evaluating data science programs2017
- Using targeted Bayesian network learning for suspect identification in communication networksInternational Journal of Information Security, 2017
- Information Quality2016
- Improving Reliability Understanding Through Estimation and Prediction with Usage InformationQuality Engineering, 2015
- Statistics: A Life Cycle ViewQuality Engineering, 2014
- Condition-Based Maintenance via Simulation and a Targeted Bayesian Network MetamodelQuality Engineering, 2013
- Quality Control of Manufactured Surfaces2010
- Mode Identification of Hybrid Systems in the Presence of FaultIEEE Transactions on Industrial Electronics, 2009
- Quantitative Hybrid Bond Graph-Based Fault Detection and IsolationIEEE Transactions on Automation Science and Engineering, 2009
- The impact of defects on a process with reworkEuropean Journal of Operational Research, 1995