Probabilistic Data Generation for Deduplication and Data Linkage
In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and pre-processing of such data likely involves deduplication or linkage with other data, which is often challenged by a lack of unique
|Collections||ANU Research Publications|
|Source:||Intelligent Data Engineering and Automated Learning - IDEAL 2005. Proceedings|
|01_Christen_Probabilistic_Data_Generation_2005.pdf||178.43 kB||Adobe PDF||Request a copy|
|02_Christen_Probabilistic_Data_Generation_2005.pdf||135.39 kB||Adobe PDF||Request a copy|
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