Data Quality Problems beyond Consistency and Deduplication

Wenfei Fan; Floris Geerts; Shuai Ma; Nan Tang; Wenyuan Yu

doi:10.1007/978-3-642-41660-6_12

Data Quality Problems beyond Consistency and Deduplication

Wenfei Fan, Floris Geerts, Shuai Ma, Nan Tang, Wenyuan Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Original language	English
Title of host publication	In Search of Elegance in the Theory and Practice of Computation - Essays Dedicated to Peter Buneman
Publisher	Springer
Pages	237-249
Number of pages	13
Volume	8000
ISBN (Electronic)	978-3-642-41660-6
ISBN (Print)	978-3-642-41659-0
DOIs	https://doi.org/10.1007/978-3-642-41660-6_12
Publication status	Published - 2013

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Fan Geerts ET AL 2013 Data Quality Problems Beyond Consistency and DeduplicationSubmitted manuscript, 231 KB

http://dx.doi.org/10.1007/978-3-642-41660-6_12

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title = "Data Quality Problems beyond Consistency and Deduplication",

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",

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Y1 - 2013

N2 - 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

AB - 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

U2 - 10.1007/978-3-642-41660-6_12

DO - 10.1007/978-3-642-41660-6_12

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BT - In Search of Elegance in the Theory and Practice of Computation - Essays Dedicated to Peter Buneman

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Data Quality Problems beyond Consistency and Deduplication

Abstract

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