The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ , regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries. 5. 2020 IEEE International Conference on Big Data (IEEE BigData 2020) 2016 IEEE International Conference on Big Data (IEEE BigData 2016) Dec. 5-8, 2016 @ Washington D.C., USA Welcome! The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. New Computational Models for Big Data Big Data as a Service Intrusion Detection for Gigabit Networks The conference is co-sponsored by IEEE … Several current and upcoming frontier technologies, innovative solutions, research results, as well as enterprises related to cloud computing and big data analytics and their applications will be presented. The impact factor (IF) 2018 of IEEE Transactions on Big Data is 5.67, which is computed in 2019 as per it's definition. Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data However, a banquet ticket is not included, but is available for purchase. 1. Semantic-based Data Mining and Data Pre-processing Data Acquisition, Integration, Cleaning, and Best Practices Formatting Instructions We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) Student Travel Award The conference will attract high-quality theory and applied research findings in big data science and foundations, big data infrastructure, big data management, big data search & mining, privacy/security, and big data applications. Cloud/Grid/StreamData Mining- Big Velocity Data For more information, check out our privacy policy. Operating system support and runtimes for hardware accelerators The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. Distributed, and Peer-to-peer Search Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. Big Data is a key enabler of exploring business insights and economics of services. The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ , regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec 9-12, 2019 with close to 1200 registered participants from 54 countries. Link and Graph Mining IFIP WG 11.9 International Conference on Digital Forensics, International Conference on Natural Language Processing Computational Linguistics, International Workshop on Materials Science and Mechanical Engineering, Asia Pacific Conference on Computer Human Interaction, International Conference on Signal, Image Processing and Embedded Systems, Asian Conference on Availability, Reliability and Security, International Conference On Mobile And Secure Services, European Conference on Electrical Machines and Power Electronics, International Conference on Green Composite Materials and Nanotechnology, International Conference on Intelligent Urban Computing, International Journal of Mathematics and Mathematical Sciences. IEEE Big Data 2020 will offer student travel to student authors (including post-docs). The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will continue the success of the previous IEEE Big Data conferences. The aim of the International Conference on Big Data and Smart Computing (BigComp), initiated by KIISE (Korean Institute of Information Scientists and Engineers), is to give an international forum for exchanging information and ideas on current studies, challenges, research results, system developments, and practical experiences in these emerging fields. Abstract: Big data processing systems such as Spark are employed in an increasing number of diverse applications-such as machine learning, graph computation, and scientific computing-each with dynamic and different resource needs. Persistent, non-volatile and emerging memory for Big Data The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. 3. 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