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Titlebook: Computational Science and Its Applications – ICCSA 2019; 19th International C Sanjay Misra,Osvaldo Gervasi,Eufemia Tarantino Conference pro

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書目名稱Computational Science and Its Applications – ICCSA 2019
副標題19th International C
編輯Sanjay Misra,Osvaldo Gervasi,Eufemia Tarantino
視頻videohttp://file.papertrans.cn/234/233012/233012.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Science and Its Applications – ICCSA 2019; 19th International C Sanjay Misra,Osvaldo Gervasi,Eufemia Tarantino Conference pro
描述.The six volumes LNCS 11619-11624 constitute the refereed proceedings of the 19th International Conference on Computational Science and Its Applications, ICCSA 2019, held in Saint Petersburg, Russia, in July 2019..The 64 full papers, 10 short papers and 259 workshop papers presented were carefully reviewed and selected form numerous submissions. The 64 full papers are organized in the following five general tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 259 workshop papers were presented at 33 workshops in?various areas of computational sciences, ranging from computational science?technologies to specific areas of computational sciences, such as software engineering,?security, artificial intelligence and blockchain technologies...?.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; cloud computing; computer architecture; computer networks; data mining; data sec
版次1
doihttps://doi.org/10.1007/978-3-030-24308-1
isbn_softcover978-3-030-24307-4
isbn_ebook978-3-030-24308-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Context Data Preprocessing for Context-Aware Smartphone Authenticationrning user’s past contextual patterns in consideration of user’s hourly, daily, weekly or monthly behaviors. In this paper, we gathered contextual data from 200 voluntary smartphone users for about 2 years and showed what the appropriate contextual data is preprocessing for performing context-aware authentication.
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