Data science : third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings. Part I / Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu (eds.).
International Conference of Pioneering Computer Scientists, Engineers and Educators (3rd : 2017 : Changsha Shi, China); Zou, Beiji, editor.; Li, Min, editor.; Wang, Hongzhi, editor.; Song, Xianhua, editor.; Xie, Wei, editor.; Lu, Zeguang, editor.
2017
QA76.9.D343
Available Online

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Title Data science : third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings. Part I / Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu (eds.).
Meeting Name International Conference of Pioneering Computer Scientists, Engineers and Educators (3rd : 2017 : Changsha Shi, China)
ISBN 9789811063855 (electronic book)
9811063850 (electronic book)
9789811063848
DOI https://doi.org/10.1007/978-981-10-6385-5
Published Singapore : Springer, 2017.
Language English
Description 1 online resource (xxv, 769 pages) : illustrations.
Other Standard Identifiers 10.1007/978-981-10-6385-5 doi
Call Number QA76.9.D343
Dewey Decimal Classification 006.3/12
Summary This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including 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, D ata-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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 22, 2017).
Added Author Zou, Beiji, editor.
Li, Min, editor.
Wang, Hongzhi, editor.
Song, Xianhua, editor.
Xie, Wei, editor.
Lu, Zeguang, editor.
Series Communications in computer and information science ; 727.
Available in Other Form Print version: 9789811063848
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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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