DECLARATIVE LANGUAGE AND VISUALIZATION SYSTEM FOR RECOMMENDED DATA TRANSFORMATIONS AND REPAIRS

The present disclosure relates generally to a data enrichment service that extracts, repairs, and enriches datasets, resulting in more precise entity resolution and correlation for purposes of subsequent indexing and clustering. As the data enrichment service can include a visual recommendation engi...

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Bibliographic Details
Main Authors OGREN PHILIP, MURRAY GLENN ALLEN, STOJANOVIC ALEXANDER SASHA, RIVAS LUIS E
Format Patent
LanguageEnglish
Published 31.03.2016
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The present disclosure relates generally to a data enrichment service that extracts, repairs, and enriches datasets, resulting in more precise entity resolution and correlation for purposes of subsequent indexing and clustering. As the data enrichment service can include a visual recommendation engine and language for performing large-scale data preparation, repair, and enrichment of heterogeneous datasets. This enables the user to select and see how the recommended enrichments (e.g., transformations and repairs) will affect the user's data and make adjustments as needed. The data enrichment service can receive feedback from users through a user interface and can filter recommendations based on the user feedback.
Bibliography:Application Number: US201514864496