Data Cleaning in Knowledge Discovery Database (KDD)-Data Mining

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Provided by: Seek Digital Library
Topic: Data Management
Format: PDF
Data quality is a main issue in quality information management. Data quality problems occur anywhere in information systems. These problems are solved by data cleaning. Data Cleaning (DC) is a process used to determine inaccurate, incomplete or unreasonable data and then improve the quality through correcting of detected errors and omissions. Generally data cleaning reduces errors and improves the data quality. It is well known that the process of correcting errors in data and eliminating bad records are time consuming and involve a tedious process but it cannot be ignored.
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