2020 IEEE International Conference on Big Data (Big Data) PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 2020 IEEE International Conference on Big Data (Big Data) PDF full book. Access full book title 2020 IEEE International Conference on Big Data (Big Data) by IEEE Staff. Download full books in PDF and EPUB format.
Author: IEEE Staff Publisher: ISBN: 9781728162522 Category : Languages : en Pages :
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
Author: IEEE Staff Publisher: ISBN: 9781728162522 Category : Languages : en Pages :
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
Author: IEEE Staff Publisher: ISBN: 9781728160351 Category : Languages : en Pages :
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
Author: Surya Nepal Publisher: Springer Nature ISBN: 3030596125 Category : Computers Languages : en Pages : 264
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.
Author: IEEE Staff Publisher: ISBN: 9781728192475 Category : Languages : en Pages :
Book Description
Big Data Conference Europe is a three day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes The event is designed to educate, inform and inspire organized by people who are passionate about Big Data and Data Exploration
Author: Wang, John Publisher: IGI Global ISBN: 1799892212 Category : Computers Languages : en Pages : 3296
Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author: IEEE Staff Publisher: ISBN: 9781728170237 Category : Languages : en Pages :
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
Author: IEEE Staff Publisher: ISBN: 9781728193267 Category : Languages : en Pages :
Book Description
Multimedia is increasingly becoming the biggest big data as the most important and valuable source for insights and information It covers from everyone s experiences to everything happening in the world As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications
Author: IEEE Staff Publisher: ISBN: 9781728141121 Category : Languages : en Pages :
Book Description
In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself The 4th International Conference on Big Data Analysis (ICBDA 2019) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application ICBDA2020 is co sponsored by IEEE, Xi an Jiaotong Liverpool University, China and Xiamen University, China
Author: IEEE Staff
Author: IEEE Staff
Author: IEEE Staff
Author: Surya Nepal
Author: IEEE Staff
Author: 
Author: Wang, John
Author: IEEE Staff
Author: IEEE Staff
Author: IEEE Staff
Author: Bing Xu