Machine derived contents note: Mathematical issues in data science.- Big data issues and applications.- Data quality and data preparation.- Data-driven scientific research.- Evaluation and measurement in data service.- Big data mining and knowledge management.- case study of data science.- Social impacts of data science
Bibliography
Includes bibliographical references and author index
