Publication
Title
Data quality problems beyond consistency and deduplication
Author
Abstract
Recent work on data quality has primarily focused on data repairing algorithms for improving data consistency and record matching methods for data deduplication. This paper accentuates several other challenging issues that are essential to developing data cleaning systems, namely, error correction with performance guarantees, unification of data repairing and record matching, relative information completeness, and data currency. We provide an overview of recent advances in the study of these issues, and advocate the need for developing a logical framework for a uniform treatment of these issues.
Language
English
Source (journal)
Lecture notes in computer science. - Berlin, 1973, currens
Publication
Berlin : 2013
ISSN
0302-9743 [print]
1611-3349 [online]
Volume/pages
8000(2013), p. 237-249
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 14.04.2014
Last edited 13.07.2017
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