Data Quality in Practices
- ISBN 13:
- ISBN 10:
- Format: Hardcover
- Copyright: 12/09/2013
- Publisher: Iste/Hermes Science Pub
Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)
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This is the first book to be published on the topic of data quality exploration, analytics, and quantitative data cleaning—providing a sound technical grounding in the subject. It shows readers, through examples and practical case studies, how to apply statistics and data mining techniques to their own data quality issues; presents an overview of data quality analytics and techniques for data quality improvement; and gives an iterative framework for the detection, explanation, and quantitative cleaning of data quality problems and anomalies.