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Quality and Complexity Measures for Data Linkage and Deduplication

Christen, Peter; Goiser, Karl


Deduplicating one data set or linking several data sets are increasingly important tasks in the data preparation steps of many data mining projects. The aim of such linkages is to match all records relating to the same entity. Research interest in this area has increased in recent years, with techniques originating from statistics, machine learning, information retrieval, and database research being combined and applied to improve the linkage quality, as well as to increase performance and...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Book chapter
Book Title: Quality Measures in Data Mining: Studies in Computational Intelligence
DOI: 10.1007/978-3-540-44918-8_6


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