2023 International Conference on Big Data and Computing (WBDC 2023)
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Website https://www.iwbdc.org/ |
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Category Big Data; Computing
Deadline: October 10, 2023 | Date: November 17, 2023-November 19, 2023
Venue/Country: Xi'an, China, China
Updated: 2023-06-05 18:22:14 (GMT+9)
Call For Papers - CFP
★2023 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 IndexingAccepted 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 SpeakersProf. Axel-Cyrille Ngonga Ngomo, Paderborn University, Germany★Program Preview/ Program at a glance November 17: Registration + Icebreaker ReceptionNovember 18: Opening Ceremony+ KN Speech+ Technical SessionsNovember 19: Technical Sessions+ Half day tour/Lab tours★Paper SubmissionSubmit Via CMT: https://cmt3.research.microsoft.com/WBDC2023★CONTACT USMs. Willa P. P. WongEmail: contactiwbdc.orgWebsite: www.iwbdc.org★Topics of InterestAlgorithmic, experimental, prototyping and implementationApplications and Evaluation of Real-Time Big Data SystemsAutonomic Computing and Cyber-infrastructureBig Data Algorithms, Applications and ServicesBig Data Analytics and Machine and Deep LearningBig Data Analytics in Government, Public Sector and Society in GeneralBig Data Analytics in Small Business Enterprises (SMEs)Big Data ApplicationsBig Data ArchitecturesBig Data as a ServiceBig Data EducationBig Data for Improving Resilient InfrastructuresBig Data for Social NetworkingBig Data Industry StandardsBig Data ManagementBig Data Mining and AnalyticsBig Data Models and AlgorithmsBig Data Open PlatformsBig Data Processing and QueryingBig Data Search, Mining, and VisualizationBig Data Security, Privacy and TrustBig Data VisualizationCloud and Big Data for Internet of Things (IoT)Cloud Computing Solutions and PlatformsCloud/Grid/Stream Computing for Big DataCompiler TechnologiesComplex Big Data Applications in Science, Engineering, Medicine, HealthcareComplex Big Data Applications in Finance, Business, Law, EducationComplex Big Data Applications in Transportation, Retailing, TelecommunicationComputers and Society, Interdisciplinary ApplicationsComputing, scheduling and resource management for sustainabilityData and Information Quality for Big DataData intensive computing theorems and technologiesData quality issues: such as validation, metrics, optimizations and consistencyData-driven innovation, computational modelling and data integrationEmbedded and Cyber-Physical SystemsEnabling Resources for Big Data ResearchEnergy-efficient Computing for Big DataEnvironmental-friendly perspectives green data centersExperiences with Big Data Project DeploymentsGovernment and Industrial Experiences for Cloud and Big DataGreen Computing and Networking Technologies for Cloud and Big DataGreen data centersHigh Performance and Parallel Computing Platforms for Big DataInnovative Approaches, Algorithms, and Models of Computing,Large-Scale System DesignNew Computational Models for Big DataNew Data StandardsNew Programming Models for Big Data beyond Hadoop, MapReduce and STORMNovel Theoretical Models for Big DataPrivacy and Security for Cloud and Big DataProgramming Languages, Models and RuntimesProgramming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big DataQuality of Big Data ServicesReal-life Case Studies of Value Creation through Big Data AnalyticsSoftware and tools for big data managementSoftware Engineering for Cloud Computing and Big DataSoftware Systems to Support Big Data ComputingSoftware Techniques and Architectures in Cloud/Grid/Stream ComputingSoftware, hardware and algorithm co-design, high-performance computingSystem Architectures, Design and DeploymentTechniques and Algorithms for Real-Time Big Data AnalyticsVirtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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