Automatic Training Example Selection for Scalable Unsupervised Record Linkage
Linking records from two or more databases is an increasingly important data preparation step in many data mining projects, as linked data can enable studies that are not feasible otherwise, or that would require expensive collection of specific data. The aim of such linkages is to match all records that refer to the same entity. One of the main challenges in record linkage is the accurate classification of record pairs into matches and non-matches. Many modern classification techniques are...[Show more]
|Collections||ANU Research Publications|
|Source:||Advances in Knowledge Discovery and Data Mining 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining Proceedings|
|01_Christen_Automatic_Training_Example_2008.pdf||2.52 MB||Adobe PDF||Request a copy|
|02_Christen_Automatic_Training_Example_2008.pdf||163.99 kB||Adobe PDF||Request a copy|
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