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INFORMATION CLEANUP FORMULATION: PRAGMATIC SOLUTION

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Abstract:

The magnitude of information accessible that we all transact with is growing rapidly. With this growth information and the current component of small and big data sets, conformity of information essential. Information cleanup also know as information cleanup or scrubbing trades with detection and removal of errors and inconsistencies from information in state to change the quality of data, improve. The effective methodology for error detection goes beyond wholeness reasoning are analyze in the proposed research. The practice includes: applied mathematics, pattern matching, clustering, and data mining techniques. Keywords: data cleansing, data cleaning, data quality, error detection.

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