Discovering Correlations in Annotated Databases Public
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Annotated databases contain large amounts of metadata information from which new knowledge can be derived. The goal of this project was to implement a means of discovering and managing the association rules between annotations and data, with special focus given to the incremental maintenance of these association rules when new annotations are added to the database. After successfully implementing these systems, the association rules were used to predict missing annotations for data records.
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