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原文書 (8)
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無庫存 (8)
商品定價

$800以上 (8)
出版日期

2024年 (1)
2022~2023 (1)
2020~2021 (4)
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平裝 (5)
精裝 (3)
作者

;Gupta, Deepak (Maharaja Agrasen Institute of Technology, Delhi, India),Gupta, Mukul,Dhanaraj, Rajesh Kumar (Galgotias University, Greater Noida, India),Balusamy, Balamurugan (Galgotias University, Gr (1)
;Sharma, Moolchand (Maharaja Agrasen Institute of Technology, Rohini, Delhi, India),Sharma, Deepak Kumar (Netaji Subhas Uni. of Tech.),Agarwal, Deevyankar,Al Harthy, Khoula (1)
Bhattacharyya, Siddhartha (CHRIST University, Bangalore, India),Snasel, Vaclav (VSB - Technical University of Ostrava, Czech Republic),Gupta, Deepak (Maharaja Agrasen Institute of Technology, Guru Go (1)
Gupta, Deepak (Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, India),Kose, Utku (Associate Professor, Department of C (1)
Gupta, Deepak,Sharma, Moolchand (Maharaja Agrasen Institute of Technology, Rohini, Delhi, India),Chaudhary, Vikas,Khanna, Ashish (Maharaja Agrasen Institute of Technology, India) (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)
Kose, Utku (Associate Professor, Suleyman Demirel University, Turkey),Gupta, Deepak (Assistant Professor, Maharaja Agrasen Institute of Technology, India),de Albuquerque, Victor Hugo Costa (Full Prof (1)
;Gupta, Deepak (Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India),Hassanien, Aboul Ella (Professor of Information Technology, (1)
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Elsevier Science Publishing Co Inc (4)
PBKTYFRL (2)
Academic Pr (1)
PBKWILTR (1)

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8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
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