Data Science : Third International Conference of Pioneering Computer Scientists, Engineers and Educators, Icpcsee 2017, Changsha, China, September 22-2
Overview
Mathematical Issues in Data Science.- Computational Theory for Data Science, Big Data Management and Applications.- Data Quality and Data Preparation.- Evaluation and Measurement in Data Science.- Data Visualization.- Big Data Mining and Knowledge Management.- Infrastructure for Data Science.- Machine Learning for Data Science.- Data Security and Privacy.- Applications of Data Science.- Case Study of Data Science.- Multimedia Data Management and Analysis.- Data-driven Scientific Research.- Data-driven Bioinformatics.- Data-driven Healthcare.- Data-driven Management.- Data-driven eGovernment.- Data-driven Smart City/Planet.- Data Marketing and Economics.- Social Media and Recommendation Systems.- Data-driven Security.- Data-driven Business Model Innovation.- Social and/or organizational impacts of Data Science.
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Details
- ISBN-13: 9789811063848
- ISBN-10: 9811063842
- Publisher: Springer
- Publish Date: September 2017
- Dimensions: 9.21 x 6.14 x 1.58 inches
- Shipping Weight: 2.41 pounds
- Page Count: 769
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