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Potter’s Wheel: An Interactive Data Cleaning System

Potter’s Wheel: An Interactive Data Cleaning System

陈重丶
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Cleaning data of errors in structure and content is important for data warehousing and integration. Current solutions for data cleaning involve many iterations of data “auditing” to find errors, and long-running trans-formations to fix them. Users need to endure long waits, and often write complex transformation scripts.We present Potter’s Wheel, an interactive data clean-ing system that tightly integrates transformation and discrepancy detection. Users gradually build trans-formations to clean the data by adding or undoing transforms on a spreadsheet-like interface; the effect of a transform is shown at once on records visible onscreen. These transforms are specified either through simple graphical operations, or by showing the desired effects on example data values.
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