Data Quality Problems beyond Consistency and Deduplication
作者： Wenfei Fan , Floris Geerts , Shuai Ma , Nan Tang , Wenyuan Yu
DOI: 10.1007/978-3-642-41660-6_12
关键词: Data deduplication 、 Data science 、 Master data 、 Data integrity 、 Computer science 、 Data quality 、 Closed-world assumption 、 Data consistency 、 Data mining 、 Logical framework 、 Unification
摘要: Recent work on data quality has primarily focused repairing algorithms for improving consistency and record matching methods deduplication. This paper accentuates several other challenging issues that are essential to developing cleaning systems, namely, error correction with performance guarantees, unification of matching, relative information completeness, currency. We provide an overview recent advances in the study these issues, advocate need a logical framework uniform treatment issues.
springer.com
core.ac.uk
ed.ac.uk
sci-hub.st 参考文章(43)
David Loshin, Master Data Management ,(2008)
Richard Thomas Snodgrass, Developing time-oriented database applications in SQL ,(1999)
Fritz J. Scheuren, William E. Winkler, Thomas N. Herzog, Data Quality and Record Linkage Techniques ,(2007)
Alon Y. Levy, Obtaining Complete Answers from Incomplete Databases very large data bases. pp. 402- 412 ,(1996)
Georg Gottlob, Roberto Zicari, Closed World Databases Opened Through Null Values very large data bases. pp. 50- 61 ,(1988)
Ron Meyden, Logical Approaches to Incomplete Information: A Survey Logics for Databases and Information Systems. pp. 307- 356 ,(1998) , 10.1007/978-1-4615-5643-5_10
Logics for databases and information systems Logics for databases and information systems. pp. 430- 430 ,(1998) , 10.1007/978-1-4615-5643-5
Laure Berti-Equille, Anish Das Sarma, Divesh Srivastava, Amelie Marian, Xin, Dong, Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence arXiv: Databases. ,(2009)
Floris Geerts, Wenfei Fan, Power Based Performance and Capacity Estimation Models for Enterprise Information Systems. IEEE Data(base) Engineering Bulletin. ,vol. 34, pp. 34- 42 ,(2011)
Fei Chiang, Renée J. Miller, Discovering data quality rules very large data bases. ,vol. 1, pp. 1166- 1177 ,(2008) , 10.14778/1453856.1453980