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Item

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Graph-based Household Matching for Linking Census Data

http://hdl.handle.net/20.500.12678/0000006298
88f18000-8a60-4cd7-8c31-d5eb2c357e3c
e615d8b8-4344-4d83-90fd-a61f3dee71ec
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Name / File License Actions
Graph-based Graph-based Household Matching for Linking Census Data.pdf (1.4 Mb)
© 2018 ICAIT
Publication type
Conference paper
Upload type
Publication
Title
Title Graph-based Household Matching for Linking Census Data
Language en
Publication date 2018-11-02
Authors
Khin Su Mon Myint
Win Win Naing
Description
Historical censuses consist of individual facts about a community. It provides knowledge concerned with the nation’s population. These data apply the reconstruction features of a specific period to trace their ancestors and families changes over time. Linking census data is a difficult task as common names, data quality and household changes over time. During the decades, a household may split multiple households due to marriage or move to another household. This paper proposes a graph-based approach to link households, which takes the relationship between household members. Using individual record linking results, the proposed method builds household graphs, so that the matches are determined by attribute similarity and records relationship similarity. According to the experimental results, the proposed method reaches an F-score of 0.974on Ireland Census data, outperforming all alternative methods being compared.
Keywords
Historical Censuses, Data Matching; Record Linkage, Household Linkage, Group Matching
Conference papers
ICAIT-2018
1-2 November, 2018
2nd International Conference on Advanced Information Technologies
Yangon, Myanmar
Database and Big Data Analytics
https://www.uit.edu.mm/icait-2018/
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