2023 5th International Conference on Big Data and Computing(WBDC 2023)

Memo

★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: This email address is being protected from spambots. You need JavaScript enabled to view it. 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 Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS