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Automated Probabilistic Address Standardisation and Verification

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Christen, Peter; Belacic, Daniel

Description

Addresses are a key part of many records containing information about people and organisations, and it is therefore important that accurate address information is available before such data is mined or stored in data warehouses. Unfortunately, addresses a

dc.contributor.authorChristen, Peter
dc.contributor.authorBelacic, Daniel
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-13T22:59:11Z
dc.date.available2015-12-13T22:59:11Z
dc.date.createdDecember 5 2005
dc.identifier.isbn1863657169
dc.identifier.urihttp://hdl.handle.net/1885/83649
dc.description.abstractAddresses are a key part of many records containing information about people and organisations, and it is therefore important that accurate address information is available before such data is mined or stored in data warehouses. Unfortunately, addresses a
dc.publisherUniversity of Technology Sydney
dc.relation.ispartofseriesAustralasian Data Mining Conference (AusDM 2005)
dc.sourceProceedings of the 4th Australasian Data Mining Conference
dc.source.urihttp://www.togawear.com/ausdm05/
dc.subjectKeywords: Address informations; G-NAF; Key parts; Postal address guidelines; Pre-processing; Probabilistic approaches; Typographical errors; Artificial intelligence; Data warehouses; Hidden Markov models; Standardization; Data mining Address cleaning and standardisation; Data mining pre-processing; G-NAF; hidden markov model; Postal address guidelines
dc.titleAutomated Probabilistic Address Standardisation and Verification
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2005
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub11933
local.type.statusPublished Version
local.contributor.affiliationChristen, Peter, College of Engineering and Computer Science, ANU
local.contributor.affiliationBelacic, Daniel, College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage15
dc.date.updated2016-02-24T09:46:52Z
local.identifier.scopusID2-s2.0-84857149294
CollectionsANU Research Publications

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