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Automatic Household Identification for Historical Census Data

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Advances in Artificial Intelligence (Canadian AI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10233))

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Abstract

In this paper, we present a method, that uses domain knowledge, to automatically discover and assign household identifiers to individual historical records. We apply this algorithm on a full count real census (the 1891 Canadian census) to assign household identifiers to all the records.

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Notes

  1. 1.

    Statistics Canada website, URL: http://www.statcan.gc.ca/pub/11-630-x/11-630-x2015008-eng.htm.

References

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Guelph, Guelph, Canada

    Luiza Antonie, Gary Grewal & Shada Zarti

  2. Department of Economics and Finance, University of Guelph, Guelph, Canada

    Kris Inwood

Authors
  1. Luiza Antonie
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  2. Gary Grewal
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  3. Kris Inwood
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  4. Shada Zarti
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Corresponding author

Correspondence to Luiza Antonie .

Editor information

Editors and Affiliations

  1. University of Regina, Regina, Saskatchewan, Canada

    Malek Mouhoub

  2. University of Montreal, Montreal, Québec, Canada

    Philippe Langlais

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Antonie, L., Grewal, G., Inwood, K., Zarti, S. (2017). Automatic Household Identification for Historical Census Data. In: Mouhoub, M., Langlais, P. (eds) Advances in Artificial Intelligence. Canadian AI 2017. Lecture Notes in Computer Science(), vol 10233. Springer, Cham. https://doi.org/10.1007/978-3-319-57351-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-57351-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57350-2

  • Online ISBN: 978-3-319-57351-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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