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Titlebook: Encyclopedia of Big Data Technologies; Albert Zomaya,Javid Taheri,Sherif Sakr Living reference work 20200th edition Big Data.Data Science

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書(shū)目名稱Encyclopedia of Big Data Technologies
編輯Albert Zomaya,Javid Taheri,Sherif Sakr
視頻videohttp://file.papertrans.cn/310/309287/309287.mp4
概述Presents 300+ entries covering key concepts and terms in the broad field of machine learning.Updates and informs through in-depth essays and definitions, historical background, key applications, and b
圖書(shū)封面Titlebook: Encyclopedia of Big Data Technologies;  Albert Zomaya,Javid Taheri,Sherif Sakr Living reference work 20200th edition  Big Data.Data Science
描述.The Encyclopedia of Big Data Technologies provides IT professionals, educators, researchers and students with a comprehensive set of definitions covering the most relevant Big Data technologies. The encyclopedia articles will be authored by a worldwide subject matter experts in industry and academia, this unique publication, in multiple volumes, covers a wide range of Big Data topics. The editorial board of the encyclopedia consists of 35 well-respected scholars. The sections are designed to capture the most relevant terms and assigned to experts that develop articles in a consistent and standardized way..This extensive reference work answers the need for solid and comprehensive research source in the domain of big data technologies. The encyclopedia will not be focused only on one discipline, research area or one type of data. It will cover all related technical disciplines for big data technologies such as big data storage systems, NoSQL database, cloud computing, distributedsystems, machine learning and social technologies. In particular, this encyclopedia will provide comprehensive reading materials for a large range of audiences and has potential to influence readers to think
出版日期Living reference work 20200th edition
關(guān)鍵詞Big Data; Data Science; Data Analytics; NoSQL; Big SQL
doihttps://doi.org/10.1007/978-3-319-63962-8
isbn_ebook978-3-319-63962-8
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Living reference work 20200th editionring the most relevant Big Data technologies. The encyclopedia articles will be authored by a worldwide subject matter experts in industry and academia, this unique publication, in multiple volumes, covers a wide range of Big Data topics. The editorial board of the encyclopedia consists of 35 well-r
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tedsystems, machine learning and social technologies. In particular, this encyclopedia will provide comprehensive reading materials for a large range of audiences and has potential to influence readers to think978-3-319-63962-8
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Albert Zomaya,Javid Taheri,Sherif SakrPresents 300+ entries covering key concepts and terms in the broad field of machine learning.Updates and informs through in-depth essays and definitions, historical background, key applications, and b
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FolketID: A Decentralized Blockchain-Based NemID Alternative Against DDoS Attacksalso have to be robust enough under adversarial conditions. In Denmark, NemID is a digital eID used to log into public websites, for online banking and many digital services. However, it suffers from some security threats such as Distributed Denial of Service (DDoS) attack. In 2013, a tremendous DDo
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A Simple but Accurate Method for Prediction of Reflected Intensity Noise for Single-Mode Circular Core Triangular Index Fiber Excitation via Upside Down Tapered Hemispherical Microlens on the Tip of t RIN values as a function of possible lateral misalignments. The concerned coupling efficiency under the presence of lateral mismatch case has been formulated by applying relevant ABCD matrix. The results found shall prove to be beneficial to the system designers and engineers in the context of minimizing such noise in this coupler.
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T. Sujin Jeba Kumar,Muthu Arumugamed at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models 978-3-642-44606-1978-3-642-36441-9Series ISSN 1618-7210 Series E-ISSN 2197-5647
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