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Personal Names Popularity Estimation and Its Application to Record Linkage

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New Trends in Databases and Information Systems (ADBIS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 909))

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Abstract

In this study, we investigate several statistical techniques for personal name popularity estimation and perform a record linkage experiment guided by name popularity estimates. The results show that name popularity can leverage personal name matching in databases and be of interest for many other domains.

The work was carried out while authors were at Kontur Labs, the research department of SKB Kontur, https://kontur.ru/eng/. The authors benefit from the Russian Ministry of Education and Science, project no. 1.3253.2017, and the Competitiveness Enhancement Program of Ural Federal University.

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Notes

  1. 1.

    http://egrul.nalog.ru/.

  2. 2.

    Note, that in this case C(x) corresponds to the number of persons bearing name x in S (not in \(S_{train}\) as in equations above).

  3. 3.

    We also performed an experiment with first-last name doubles that showed similar behavior of the models. We do not cite the results here due to limited space.

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Author information

Authors and Affiliations

  1. Yandex, Yekaterinburg, Russia

    Ksenia Zhagorina

  2. Ural Federal University, Yekaterinburg, Russia

    Pavel Braslavski & Vladimir Gusev

  3. JetBrains Research, Saint Petersburg, Russia

    Pavel Braslavski

Authors
  1. Ksenia Zhagorina
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  2. Pavel Braslavski
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  3. Vladimir Gusev
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Corresponding author

Correspondence to Pavel Braslavski .

Editor information

Editors and Affiliations

  1. Eötvös Loránd University, Budapest, Hungary

    András Benczúr

  2. Abt. Informatik, Universität Kiel, Kiel, Germany

    Bernhard Thalheim

  3. Eötvös Loránd University, Budapest, Hungary

    Tomáš Horváth

  4. Politecnico di Torino, Turin, Italy

    Silvia Chiusano

  5. Polytechnic University of Turin, Turin, Italy

    Tania Cerquitelli

  6. Hungarian Academy of Sciences, Budapest, Hungary

    Csaba Sidló

  7. University of Nebraska–Lincoln, Lincoln, NE, USA

    Peter Z. Revesz

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Zhagorina, K., Braslavski, P., Gusev, V. (2018). Personal Names Popularity Estimation and Its Application to Record Linkage. In: Benczúr, A., et al. New Trends in Databases and Information Systems. ADBIS 2018. Communications in Computer and Information Science, vol 909. Springer, Cham. https://doi.org/10.1007/978-3-030-00063-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-00063-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00062-2

  • Online ISBN: 978-3-030-00063-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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