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Titlebook: Data Science; 4th International Co Qinglei Zhou,Yong Gan,Zeguang Lu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018 art

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书目名称Data Science
副标题4th International Co
编辑Qinglei Zhou,Yong Gan,Zeguang Lu
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Science; 4th International Co Qinglei Zhou,Yong Gan,Zeguang Lu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018 art
描述This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. .The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 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 busi
出版日期Conference proceedings 2018
关键词artificial intelligence; cloud computing; clustering algorithms; computer crime; data mining; data securi
版次1
doihttps://doi.org/10.1007/978-981-13-2203-7
isbn_softcover978-981-13-2202-0
isbn_ebook978-981-13-2203-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Integration of Big Data: A Survey,m both research and industry areas. In this paper, we overview the state-of-art approaches in data integration which are roughly divided into five parts: schema matching, entity resolution, data fusion, integration system, and new problems arisen.
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Mareike Bockholt,Katharina A. Zweigons. This paper explores whether VC scales for a large number of volunteers when they commit churn and how large VC needs to scale in order to achieve the same performance as that by High Performance Computing (HPC) or computing grid for a given big data problem. To achieve the goal, this paper prop
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https://doi.org/10.1007/978-3-030-93413-2needs of users for massive data, we propose an efficient user preferences-based top-. skyline combining partially and totally ordered domains in MapReduce, named .. The whole course contains two main phases, partially ordered domains processing and totally ordered domains processing. In partially or
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