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A Two-Step Classification Approach to Unsupervised Record Linkage

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Date

2007

Authors

Christen, Peter

Journal Title

Journal ISSN

Volume Title

Publisher

Australian Computer Society Inc.

Abstract

Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that would be too expensive to collect manually. A main challenge when linking large

Description

Keywords

Keywords: Clustering; Data linkage; Data matching; Deduplication; Quality measures; Data handling; Data mining; Learning systems; Support vector machines; Classification (of information) Clustering; Data linkage; Data matching; Deduplication; Entity resolution; Quality measures; Support vector machines

Citation

URI

http://hdl.handle.net/1885/34333

Collections

ANU Research Publications

Source

Conferences in Research and Practice in Information Technology - CRPIT

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

Restricted until

2037-12-31

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01_Christen_A_Two-Step_Classification_2007.pdf (103.36 KB)

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