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Data Quality Mining: New Research Directions Leisure Berth-?quill Trapani Dash University of Rennes 1, France AT&T Labs-Research, NJ, USA berth Irish.fr tame research.att.com ICBM 2009, Miami, December
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What is data quality mining new?
Data quality mining new refers to the process of extracting valuable and actionable insights from datasets to improve the quality of data.
Who is required to file data quality mining new?
Any organization or individual that deals with data and aims to enhance its quality can file data quality mining new.
How to fill out data quality mining new?
To fill out data quality mining new, you need to analyze the available datasets using data mining techniques and identify areas of improvement in data quality.
What is the purpose of data quality mining new?
The purpose of data quality mining new is to identify and rectify issues in data quality, improve data accuracy and reliability, and enhance decision-making processes.
What information must be reported on data quality mining new?
The information reported on data quality mining new varies based on the specific context and goals. Generally, it includes details about data sources, data cleaning techniques, quality metrics used, and improvements implemented.
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