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Encyclopedia of Database Systems pp 565–569Cite as

Data Conflicts

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Synonyms

Data problems; Data quality problems; Data anomalies; Data inconsistencies; Data errors

Definition

Data conflicts are deviations between data intended to capture the same state of a real-world entity. Data with conflicts are often called “dirty” data and can mislead analysis performed on it. In case of data conflicts, data cleaning is needed in order to improve the data quality and to avoid wrong analysis results. With an understanding of different kinds of data conflicts and their characteristics, corresponding techniques for data cleaning can be developed.

Historical Background

Statisticians were probably the first who had to face data conflicts on a large scale. Early applications, which needed intensive resolution of data conflicts, were statistical surveys in the areas of governmental administration, public health, and scientific experiments. In 1946, Halbert L. Dunn already observed the problem of duplicates in data records of a person’s life captured at different places...

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Recommended Reading

  1. Barateiro J. and Galhardas H. A survey of data quality tools. Datenbank-Spektrum, 14:15–21, 2005.

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  2. Batini C. and Scannapieco M. Data Quality – Concepts, Methodologies and Techniques. Springer, Berlin, 2006.

    MATH  Google Scholar 

  3. Dunn H.L. Record linkage. Am. J. Public Health, 36(12):1412–1416, 1946.

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  4. Elmagarmid A.K., Ipeirotis P.G., and Verykios V.S. Duplicate record detection – a survey. IEEE Trans. Knowl. Data Eng., 19(1):1–16, 2007.

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  5. Fellegi I.P. and Sunter A.B. A theory for record linkage. J. Am. Stat. Assoc., 64(328):1183–1210, 1969.

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  6. Kim W., Choi B.-J., Kim S.-K., and Lee D. A taxonomy of dirty data. Data Mining Knowl. Discov., 7(1):81–99, 2003.

    MathSciNet  Google Scholar 

  7. Rahm E. and Do H.-H. Data cleaning – problems and current approaches. IEEE Techn. Bull. Data Eng., 23(4):3–13, 2000.

    Google Scholar 

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Author information

Authors and Affiliations

  1. SAP AG, Dresden, Germany

    Hong-Hai Do

Authors
  1. Hong-Hai Do
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Do, HH. (2009). Data Conflicts. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_97

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