Big Data BigData 2021

Big Data     BigData 2021
Author: Jinpeng Wei,Liang-Jie Zhang
Publsiher: Springer Nature
Total Pages: 129
Release: 2022-02-15
Genre: Computers
ISBN: 9783030962821

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This book constitutes the refereed proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021. The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City
Author: Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publsiher: Springer Nature
Total Pages: 1314
Release: 2021-12-09
Genre: Technology & Engineering
ISBN: 9789811674662

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Big Data

Big Data
Author: Xiangke Liao,Wei Zhao,Enhong Chen,Nong Xiao,Li Wang,Yang Gao,Yinghuan Shi,Changdong Wang,Dan Huang
Publsiher: Springer Nature
Total Pages: 334
Release: 2022-01-14
Genre: Computers
ISBN: 9789811697098

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This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City

2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City
Author: Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publsiher: Springer Nature
Total Pages: 1157
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 9789811674693

Download 2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City Book in PDF, Epub and Kindle

This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Big Data Analytics

Big Data Analytics
Author: Satish Narayana Srirama,Jerry Chun-Wei Lin,Raj Bhatnagar,Sonali Agarwal,P. Krishna Reddy
Publsiher: Springer Nature
Total Pages: 360
Release: 2022-01-01
Genre: Computers
ISBN: 9783030936204

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This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.

Big Data Analytics and Knowledge Discovery

Big Data Analytics and Knowledge Discovery
Author: Matteo Golfarelli,Robert Wrembel,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Publsiher: Springer Nature
Total Pages: 283
Release: 2021-09-04
Genre: Computers
ISBN: 9783030865344

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This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.

Big Data Analytics in Astronomy Science and Engineering

Big Data Analytics in Astronomy  Science  and Engineering
Author: Shelly Sachdeva,Yutaka Watanobe,Subhash Bhalla
Publsiher: Springer Nature
Total Pages: 283
Release: 2022-02-17
Genre: Computers
ISBN: 9783030966003

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This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.

Disruptive Technologies for Big Data and Cloud Applications

Disruptive Technologies for Big Data and Cloud Applications
Author: J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Alavi
Publsiher: Springer Nature
Total Pages: 880
Release: 2022-08-01
Genre: Technology & Engineering
ISBN: 9789811921773

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This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.