- Approaches to study data quality: intuitive, theoretical, empirical
- Attributes of the quality of data: accuracy, timeliness, precision, reliability, currency, completeness, relevancy, accessibility, interpretability
- Overall the most important attributes: accuracy and correctness
Labels
annotation
(10)
web service
(3)
uncertainty
(2)
API
(1)
QoD
(1)
bio
(1)
confidence intervals
(1)
data streams
(1)
grammar
(1)
load shedding
(1)
load shedding ; aggregate queries
(1)
load shedding ; continuous queries ;
(1)
load shedding ; dynamic data streams
(1)
meta-scheduling
(1)
monitor dropped packets
(1)
multi-values
(1)
online
(1)
propagation
(1)
provenanace
(1)
punctuation; security
(1)
record matching
(1)
review_paper
(1)
semantics;
(1)
staleness
(1)
Friday, February 5, 2010
Journal of MIS1996BeyondAccuracy-Wang-Strong
"Beyond Accuracy: What Data Quality Means to Data Consumers" - Richard Y. Wang, Diane M. Strong ( MIT )
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