Posted On: Feb 22, 2018
Data Screening: In this step various algorithms are used to screen the entire data to find any erroneous or questionable values.
Data Verification: In this step each suspect value is evaluated on a case by case basis, and a decision is made if the values have to be accepted as valid, rejected as invalid or if they have to be replaced with some redundant values.
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Here are a few considerable differences:Data Mining: Data mining does not require any hypothesis and depends on clean..
Data cleaning is a crucial step in the analysis process where data is inspected to find anomalies, reduce repetitive da..