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Data science = third International C...
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International Conference of Pioneering Computer Scientists, Engineers and Educators (2017 :)
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Data science = third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017 : proceedings.. Part I /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data science/ edited by Beiji Zou ... [et al.].
其他題名:
third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017 : proceedings.
其他題名:
ICPCSEE 2017
其他作者:
Zou, Beiji.
團體作者:
International Conference of Pioneering Computer Scientists, Engineers and Educators
出版者:
Singapore :Springer Singapore : : 2017.,
面頁冊數:
xxv, 769 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer eBooks
標題:
Data mining - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-981-10-6385-5
ISBN:
9789811063855
Data science = third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017 : proceedings.. Part I /
Data science
third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017 : proceedings.Part I /[electronic resource] :ICPCSEE 2017edited by Beiji Zou ... [et al.]. - Singapore :Springer Singapore :2017. - xxv, 769 p. :ill., digital ;24 cm. - Communications in computer and information science,7271865-0929 ;. - Communications in computer and information science ;727..
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.
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.
ISBN: 9789811063855
Standard No.: 10.1007/978-981-10-6385-5doiSubjects--Topical Terms:
551626
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data science = third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017 : proceedings.. Part I /
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