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dc.contributor.authorFu, Z
dc.contributor.authorChristen, P
dc.contributor.authorZhou, J
dc.contributor.editorVincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao
dc.date.accessioned2017-05-03T16:12:02Z
dc.date.available2017-05-03T16:12:02Z
dc.date.issued2014
dc.identifier.issn0302-9743
dc.identifier.refurihttp://pakdd2014.pakdd.org/
dc.identifier.doi10.1007/978-3-319-06608-0_40
dc.identifier.urihttp://hdl.handle.net/10072/65332
dc.description.abstractLinking historical census data across time is a challenging task due to various reasons, including data quality, limited individual information, and changes to households over time. Although most census data linking methods link records that correspond to individual household members, recent advances show that linking households as a whole provide more accurate results and less multiple household links. In this paper, we introduce a graph-based method to link households, which takes the structural relationship between household members into consideration. Based on individual record linking results, our method builds a graph for each household, so that the matches are determined by both attribute-level and record-relationship similarity. Our experimental results on both synthetic and real historical census data have validated the effectiveness of this method. The proposed method achieves an F-measure of 0.937 on data extracted from real UK census datasets, outperforming all alternative methods being compared.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent168571 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeSwitzerland
dc.publisher.urihttp://pakdd2014.pakdd.org/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename18th Pacific-Asia Conference on in Knowledge Discovery and Data Mining, PAKDD 2014
dc.relation.ispartofconferencetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartofdatefrom2014-05-13
dc.relation.ispartofdateto2014-05-16
dc.relation.ispartoflocationTaiwan
dc.relation.ispartofpagefrom485
dc.relation.ispartofpageto496
dc.relation.ispartofissuePART 1
dc.relation.ispartofvolume8443 LNAI
dc.rights.retentionY
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchcode080109
dc.titleA Graph Matching Method for Historical Census Household Linkage
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2014 Springer International Publishing Switzerland. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com.
gro.date.issued2015-08-10T04:06:26Z
gro.hasfulltextFull Text
gro.griffith.authorZhou, Jun


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    Contains papers delivered by Griffith authors at national and international conferences.

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