2024 6th International Conference on Big Data and Computing (WBDC 2024)

WBDC 2024


  • URL: https://www.iwbdc.org
  • Event Date: 2024-06-06 ~ 2024-06-09
  • Submission Date: 2024-05-07
  • Organizer: HKSRA

Computing Systems Data Mining & Analysis Databases & Information Systems



2024 6th International Conference on Big Data and Computing (WBDC 2024) -- Ei Compendex & Scopus—Call for paper  



June 7-9, 2024onlineWebsite: www.iwbdc.org



 



★Researchers, scientists, engineers and industry professionals will join together this year at WBDC 2024, 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



All accepted and registered full papers will be published conjunctly with other conference proceeding in the form of digital conference proceeding and submitted to major citation databases like EI Compendex, SCOPUS, Google Scholar etc. for reviewing and indexing.  Excellent Papers from WBDC 2024 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



June 7: Registration + Icebreaker Reception



June 8: Opening Ceremony+ KN Speech+ Technical Sessions



June 9: Technical Sessions+ Half day tour/Lab tours



 



★Paper Submission



Submit Via CMT: https://cmt3.research.microsoft.com/WBDC2024



 



★CONTACT US



Ms. Willa P. P. Wong



Email: contact@iwbdc.org



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



Big Data Mining and Analytics



Big Data Models and Algorithms



Big Data Open Platforms



Big Data Processing and Querying



Big Data Search, Mining, and Visualization



Big Data Security, Privacy and Trust



Big Data Visualization



Cloud and Big Data for Internet of Things (IoT)



Cloud Computing Solutions and Platforms



Cloud/Grid/Stream Computing for Big Data



Compiler Technologies



Complex Big Data Applications in Science, Engineering, Medicine, Healthcare



Complex Big Data Applications in Finance, Business, Law, Education



Complex Big Data Applications in Transportation, Retailing, Telecommunication



Computers and Society, Interdisciplinary Applications



Computing, scheduling and resource management for sustainability



Data and Information Quality for Big Data



Data intensive computing theorems and technologies



Data quality issues: such as validation, metrics, optimizations and consistency



Data-driven innovation, computational modelling and data integration



Embedded and Cyber-Physical Systems



Enabling Resources for Big Data Research



Energy-efficient Computing for Big Data



Environmental-friendly perspectives green data centers



Experiences with Big Data Project Deployments



Government and Industrial Experiences for Cloud and Big Data



Green Computing and Networking Technologies for Cloud and Big Data



Green data centers



High Performance and Parallel Computing Platforms for Big Data



Innovative Approaches, Algorithms, and Models of Computing,



Large-Scale System Design



New Computational Models for Big Data



New Data Standards



New Programming Models for Big Data beyond Hadoop, MapReduce and STORM



Novel Theoretical Models for Big Data



Privacy and Security for Cloud and Big Data



Programming Languages, Models and Runtimes



Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data



Quality of Big Data Services



Real-life Case Studies of Value Creation through Big Data Analytics



Software and tools for big data management



Software Engineering for Cloud Computing and Big Data



Software Systems to Support Big Data Computing



Software Techniques and Architectures in Cloud/Grid/Stream Computing



Software, hardware and algorithm co-design, high-performance computing



System Architectures, Design and Deployment



Techniques and Algorithms for Real-Time Big Data Analytics