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Synopsis
It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate treatment strategies for the anomalies that are found. This book focuses on the identification and treatment of data anomalies, including examples that highlight different types...
About the Author
Ronald K. Pearson is a senior data scientist at GeoVera Holdings, a U.S. based property insurance company. He has held positions in both academia and industry and has been actively involved in both research and applications in several data-related fields, including industrial process control and monitoring, signal processing, bioinformatics, drug safety data analysis, property-casualty insurance, and software development. The author of over 100 conference and journal papers...
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- PublisherSIAM - Society for Industrial and Applied Mathematics
- Publication date2020
- ISBN 10 161197626X
- ISBN 13 9781611976267
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages481
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