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三民出版.新書搶先報|最速、最優惠的新鮮貨報給你知!

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商品類型

原文書 (5)
商品狀況

可訂購商品 (5)
庫存狀況

無庫存 (5)
商品定價

$800以上 (5)
出版日期

2022~2023 (1)
2020~2021 (2)
2018~2019 (1)
裝訂方式

平裝 (4)
精裝 (1)
作者

;Khare, Prashant (Director (R&D), Center for Advanced Biotechnology Research Absolute Foods, Gurugram, Haryana, India),Jain, Ashish (Assistant Professor, Department of Microbiology, Smt. CHM College U (1)
Gorjian, Shiva (Assistant Professor of Biosystems Engineering at Tarbiat Modares University (TMU), Tehran, Iran),Ashish, Shukla (Assistant Professor of Building Engineering Physics at Coventry Univer (1)
Khanna, Ashish (Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India),Gupta, Deepak (Assista (1)
Khare, Prashant (Ramalingaswami Fellow and Scientist D, Department of Microbiology, All India Institute of Medical Sciences Bhopal, (Madhya Pradesh), India),Jain, Ashish (Assistant Professor, Departm (1)
Verma, Ashish Swarup (Professor and Pro-Vice-Chancellor, Jadavpur University, Kolkatta, India),Singh, Anchal (Assistant Professor, Department of Biochemistry, Institute of Science, Banaras Hindu Univ (1)
出版社/品牌

Elsevier Science Publishing Co Inc (3)
Academic Pr (1)
Elsevier Science & Technology (1)

三民網路書店 / 搜尋結果

5筆商品,1/1頁
Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data.This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in th
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