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Titlebook: Web Information Systems Engineering; WISE 2019 Workshop, Leong Hou U,Jian Yang,Xin Huang Conference proceedings 2020 Springer Nature Singa

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发表于 2025-3-21 18:42:25 | 显示全部楼层 |阅读模式
书目名称Web Information Systems Engineering
副标题WISE 2019 Workshop,
编辑Leong Hou U,Jian Yang,Xin Huang
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Web Information Systems Engineering; WISE 2019 Workshop,  Leong Hou U,Jian Yang,Xin Huang Conference proceedings 2020 Springer Nature Singa
描述.This book constitutes the refereed proceedings, presented on the 20th International Conference on Web Information Systems Engineering, WISE 2019 and on The International Workshop on Web Information Systems in the Era of AI, held in Hong Kong and Macau, China. Due to the problems in Hong Kong, WISE 2019 has been postponed until January 2020..The 7 workshop papers, 5 demo papers and 3 tutorial papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following sections: tutorials; demos; the International Workshop on Web Information Systems in the Era of AI. 
出版日期Conference proceedings 2020
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer security;
版次1
doihttps://doi.org/10.1007/978-981-15-3281-8
isbn_softcover978-981-15-3280-1
isbn_ebook978-981-15-3281-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big DataIntelligent Knowledge Lakes to facilitate linking Artificial Intelligence (AI) and Data Analytics. This will enable AI applications to learn from contextualized data and use them to automate business processes and develop cognitive assistance for facilitating the knowledge intensive processes or generating new rules for future business analytics.
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Efficient Privacy-Preserving Skyline Queries over Outsourced Cloudpoint and exclude the points dominated by others in an oblivious way. Based on this subroutine, we construct a fully secure protocol for skyline queries. We theoretically prove that the protocols are secure in the semi-honest model. Through analysis and extensive experiments, we demonstrate the efficiency and scalability of our proposed solutions.
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