2020 IEEE International Conference on Big Data (Big Data)

2020 IEEE International Conference on Big Data (Big Data) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728162522
Category :
Languages : en
Pages :

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Book Description
We solicit high quality original research papers (and significant work in progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor IoT IoE, and multimedia (audio, video, image, etc ) big data systems and applications

2020 IEEE International Conference on Big Data (Big Data)

2020 IEEE International Conference on Big Data (Big Data) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728162522
Category :
Languages : en
Pages :

Get Book Here

Book Description
We solicit high quality original research papers (and significant work in progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor IoT IoE, and multimedia (audio, video, image, etc ) big data systems and applications

2020 IEEE International Conference on Big Data

2020 IEEE International Conference on Big Data PDF Author: Xintao Wu
Publisher:
ISBN: 9781728162515
Category :
Languages : en
Pages :

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Book Description


Proceedings, 2020 IEEE International Conference on Big Data

Proceedings, 2020 IEEE International Conference on Big Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


2020 IEEE International Conference on Big Data and Smart Computing (BigComp)

2020 IEEE International Conference on Big Data and Smart Computing (BigComp) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728160351
Category :
Languages : en
Pages :

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Book Description
The goal is to provide an annual forum for exchanging ideas, challenges, and research results on big data and smart computing which have recently drawn much attention from computer sicence and information technology as well as from social sciences and other disciplines The topics of interest for this conference include the following techniques, models and algorithms for big data tools and systems for big data machine learning and artificial intelligence for big data data mining and data science web search and information retrieval infrastructure and platform for smart computing big data analytics and social media cloud and grid computing for big data hardware software infrastructure for big data security and privacy for big data mobile communication and networks smart devices and hardware smart location based services and big data applications, bioinformatics, multimedia, smartphones, etc

Big Data – BigData 2020

Big Data – BigData 2020 PDF Author: Surya Nepal
Publisher: Springer Nature
ISBN: 3030596125
Category : Computers
Languages : en
Pages : 264

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Book Description
This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 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.

Big Data – BigData 2022

Big Data – BigData 2022 PDF Author: Bo Hu
Publisher: Springer Nature
ISBN: 3031235010
Category : Computers
Languages : en
Pages : 101

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Book Description
This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.

IEEE Std 1184-1994

IEEE Std 1184-1994 PDF Author:
Publisher:
ISBN: 9780738111155
Category :
Languages : en
Pages :

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Book Description


2020 IEEE International Conference on Big Data and Smart Computing

2020 IEEE International Conference on Big Data and Smart Computing PDF Author: Wookey Lee
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages :

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Book Description


Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning

Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning PDF Author: Mohammad Shamsul Arefin
Publisher: Springer Nature
ISBN: 981998937X
Category :
Languages : en
Pages : 1053

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Book Description


2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService)

2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728170237
Category :
Languages : en
Pages :

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Book Description
As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital IEEE BigDataService 2020 provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share latest results, experiences and lessons learned The conference covers topics such as big data analytics & machine learning, integrated & distributed systems, service oriented solutions to big data challenges, big data platforms & technologies, big data foundations theory