Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 727)
Conference series link(s): ICYCSEE: International Conference of Young Computer Scientists, Engineers and Educators
Conference proceedings info: ICPCSEE 2018.
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Table of contents (63 papers)
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Front Matter
About this book
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, 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.
Keywords
Editors and Affiliations
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Central South University, Changsha, China
Beiji Zou, Min Li
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Harbin Institute of Technology, Harbin, China
Hongzhi Wang
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Harbin University of Science and Technology, Harbin, China
Xianhua Song, Wei Xie
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Harbin Sea of Clouds and Computer Technology, Harbin, China
Zeguang Lu
Bibliographic Information
Book Title: Data Science
Book Subtitle: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I
Editors: Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-10-6385-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Softcover ISBN: 978-981-10-6384-8Published: 16 September 2017
eBook ISBN: 978-981-10-6385-5Published: 15 September 2017
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XXV, 769
Number of Illustrations: 351 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Image Processing and Computer Vision, Pattern Recognition