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The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality
2003
Social Science Research Network
Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications and knowledge exploration. Then we outline a technical approach to a Corporate Householding Knowledge Processor (CHKP) to solve a particularly important type of corporate householding problem -entity aggregation. We
doi:10.2139/ssrn.461001
fatcat:th6nsg2vdjauzoyaoldnj62cgq