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Noise-tolerant approximate blocking for dynamic real-time entity resolution

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dc.contributor.authorLiang, Huizhi (Elly)
dc.contributor.authorWang, Yuanzhi (Derek)
dc.contributor.authorChristen, Peter
dc.contributor.authorGayler, Ross
dc.coverage.spatialTainan China
dc.date.accessioned2015-12-13T22:18:13Z
dc.date.createdMay 13-16 2014
dc.date.issued2014
dc.date.updated2015-12-11T07:42:19Z
dc.description.abstractEntity resolution is the process of identifying records in one or multiple data sources that represent the same real-world entity. This process needs to deal with noisy data that contain for example wrong pronunciation or spelling errors. Many real world
dc.identifier.isbn9783319066073
dc.identifier.urihttp://hdl.handle.net/1885/71544
dc.publisherSpringer Verlag
dc.relation.ispartofseries18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleNoise-tolerant approximate blocking for dynamic real-time entity resolution
dc.typeConference paper
local.bibliographicCitation.lastpage460
local.bibliographicCitation.startpage449
local.contributor.affiliationLiang, Huizhi (Elly), College of Engineering and Computer Science, ANU
local.contributor.affiliationWang, Yuanzhi (Derek), College of Engineering and Computer Science, ANU
local.contributor.affiliationChristen, Peter, College of Engineering and Computer Science, ANU
local.contributor.affiliationGayler, Ross, Veda Advantage
local.contributor.authoruidLiang, Huizhi (Elly), u5156928
local.contributor.authoruidWang, Yuanzhi (Derek), u3344506
local.contributor.authoruidChristen, Peter, u4021539
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080402 - Data Encryption
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationU3488905xPUB2761
local.identifier.doi10.1007/978-3-319-06605-9_37
local.identifier.scopusID2-s2.0-84901276901
local.type.statusPublished Version

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