Conference
Corroborating Quality of Data Through Density Information
Abstract
Unclean data is a common issue in data quality. Multiple quality issues may exist in data. Over time, data may become obsolete, transcription errors may make data inaccurate, and integration of multiple data sources may cause multiple tuples referring to the same entity to exist in data. Hence, a cleaning process is necessary. Fixing one issue may not clean the data, relying on human effort to correct the data is expensive, and master data or …
Authors
Al-janabi S; Janicki R
Series
Lecture Notes in Networks and Systems
Volume
15
Pagination
pp. 1128-1146
Publisher
Springer Nature
Publication Date
2018
DOI
10.1007/978-3-319-56994-9_78
Conference proceedings
Lecture Notes in Networks and Systems
ISSN
2367-3370