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Data Conflicts

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Recommended Reading

  1. Barateiro J, Galhardas H. A survey of data quality tools. Datenbank-Spektrum. 2005;14(15–21):48.

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  2. Batini C, Scannapieco M. Data quality – concepts, methodologies and techniques. Berlin: Springer; 2006.

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  3. Dunn HL. Record linkage. Am J Public Health. 1946;36(12):1412–6.

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  4. Fellegi IP, Sunter AB. A theory for record linkage. J Am Stat Assoc. 1969;64(328):1183–210.

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

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

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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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Corresponding author

Correspondence to Hong-Hai Do .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Information Systems, Hasso-Plattner-Institute, Potsdam, Germany

    Felix Naumann

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© 2018 Springer Science+Business Media, LLC, part of Springer Nature

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Do, HH. (2018). Data Conflicts. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_97

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