Big Data – BigData 2022 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 Big Data – BigData 2022 PDF full book. Access full book title Big Data – BigData 2022 by Bo Hu. Download full books in PDF and EPUB format.
Author: Bo Hu
Publisher: Springer Nature
ISBN: 3031235010
Category : Computers
Languages : en
Pages : 101
Get Book Here
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.
Author: Bo Hu
Publisher: Springer Nature
ISBN: 3031235010
Category : Computers
Languages : en
Pages : 101
Get Book Here
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.
Author: Shunli Zhang
Publisher: Springer Nature
ISBN: 3031447255
Category : Computers
Languages : en
Pages : 239
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track.
Author: Mohammad Shamsul Arefin
Publisher: Springer Nature
ISBN: 9811666369
Category : Technology & Engineering
Languages : en
Pages : 784
Get Book Here
Book Description
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.
Author: Xiangyu Song
Publisher: Springer Nature
ISBN: 9819723035
Category :
Languages : en
Pages : 533
Get Book Here
Book Description
Author: Wenjie Zhang
Publisher: Springer Nature
ISBN: 9819772389
Category :
Languages : en
Pages : 525
Get Book Here
Book Description
Author: Xiangyu Song
Publisher: Springer Nature
ISBN: 9819723876
Category :
Languages : en
Pages : 540
Get Book Here
Book Description
Author: IEEE Computer Society
Publisher:
ISBN: 9781538636497
Category : Artificial intelligence
Languages : en
Pages : 790
Get Book Here
Book Description
Author: Zhang, Chao
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.
Author: Robert Wrembel
Publisher: Springer Nature
ISBN: 3031683234
Category :
Languages : en
Pages : 409
Get Book Here
Book Description
Author: Xiangke Liao
Publisher: Springer Nature
ISBN: 9811697094
Category : Computers
Languages : en
Pages : 334
Get Book Here
Book Description
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.
