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Automated Probabilistic Address Standardisation and Verification

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Date

2005

Authors

Christen, Peter
Belacic, Daniel

Journal Title

Journal ISSN

Volume Title

Publisher

University of Technology Sydney

Abstract

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

Description

Keywords

Keywords: 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

Citation

URI

http://hdl.handle.net/1885/83649

Collections

ANU Research Publications

Source

Proceedings of the 4th Australasian Data Mining Conference

Type

Conference paper

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Access Statement

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DOI

Restricted until

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