Understanding data quality: Ensuring data quality by design in the rail industry.

Qian Fu John M. Easton

Published in: IEEE BigData (2017)

Keyphrases

data quality
quality management
data warehouse
data cleaning
data confidentiality
information loss
data cleansing
quality assessment
poor quality
data transformation
business intelligence systems
privacy guarantees
case study
class noise
data preparation
data mining
cell suppression
data privacy
e learning