Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6649
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSweet, Cary-
dc.contributor.authorÖzyer, Tansel-
dc.contributor.authorAlhajj, Reda-
dc.date.accessioned2021-09-11T15:43:04Z-
dc.date.available2021-09-11T15:43:04Z-
dc.date.issued2007en_US
dc.identifier.citation3rd International Conference on Advanced Data Mining and Applications -- AUG 06-08, 2007 -- Harbin, PEOPLES R CHINAen_US
dc.identifier.isbn978-3-540-73870-1-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6649-
dc.description.abstractRecord linkage is an essential social problem that has received considerable attention for over two centuries. With the popularity of computers, automated systems started to be realized for better record linkage systems. In this paper, we look at improving the latest techniques in record linkage, from the perspective of genealogy, to obtain results that require decreased human intervention. The increased benefit will be measured against the mainstream string and entity comparison techniques.en_US
dc.description.sponsorshipHarbin Inst Technolen_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofAdvanced Data Mining And Applications, Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleEnhanced graph based genealogical record linkageen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesLecture Notes in Artificial Intelligenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume4632en_US
dc.identifier.startpage476en_US
dc.identifier.endpage+en_US
dc.identifier.wosWOS:000250366700043en_US
dc.identifier.scopus2-s2.0-38049000009en_US
dc.institutionauthorÖzyer, Tansel-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference3rd International Conference on Advanced Data Mining and Applicationsen_US
dc.identifier.scopusqualityQ2-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Apr 13, 2024

Page view(s)

34
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.