2023 International Conference on Big Data and Computing (WBDC 2023)

★2023 5th International Conference on Big Data and Computing (WBDC 2023) -- Ei Compendex & Scopus—Call for paper  

November 17-19, 2023｜Xi'an, China｜Website: www.iwbdc.org

★Researchers, scientists, engineers and industry professionals will join together this year at WBDC 2023, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Big Data and Computing is entering an era of unprecedented change and innovation. WBDC 2023 presents one of 2023’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.

★Publication and Indexing

Accepted and presented papers will be published in the digital conference proceedings which will be submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.

Excellent Papers from WBDC 2023 will be recommended to be submitted for publication in journal.

★Keynote Speakers

Prof. Axel-Cyrille Ngonga Ngomo, Paderborn University, Germany

★Program Preview/ Program at a glance

November 17: Registration + Icebreaker Reception

November 18: Opening Ceremony+ KN Speech+ Technical Sessions

November 19: Technical Sessions+ Half day tour/Lab tours

★Paper Submission

Submit Via CMT: https://cmt3.research.microsoft.com/WBDC2023

★CONTACT US

Ms. Willa P. P. Wong

Email: [email protected]

Website: www.iwbdc.org

★Topics of Interest

Algorithmic, experimental, prototyping and implementation

Applications and Evaluation of Real-Time Big Data Systems

Autonomic Computing and Cyber-infrastructure

Big Data Algorithms, Applications and Services

Big Data Analytics and Machine and Deep Learning

Big Data Analytics in Government, Public Sector and Society in General

Big Data Analytics in Small Business Enterprises (SMEs)

Big Data Applications

Big Data Architectures

Big Data as a Service

Big Data Education

Big Data for Improving Resilient Infrastructures

Big Data for Social Networking

Big Data Industry Standards

Big Data Management