Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce.
Aug 18
2021
Aug 20
2021
Registration deadline
2025-06-13 China Kunming
IEEE第二届大数据科学与工程国际会议2025-05-09 China Kunming
2025 IEEE 2nd International Conference on Big Data Science and Engineering2022-10-28 China Wuhan
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications2022-10-28 China Wuhan
2022 IEEE International Conference on Big Data Science and Engineering; Computational Science and Engineering; Embedded and Ubiquitous Computing; Smart City and Informatization (BigDataSE/CSE/EUC/iSCI2022-10-28 China Wuhan
IEEE TrustCom/IEEE BigDataSE/IEEE CSE/IEEE EUC/IEEE iSCI 20222021-08-18 China Shenyang
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications2018-08-01 United States
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering2017-08-01 Australia Sydney,Australia
2017 IEEE Trustcom/BigDataSE/ICESS2017-08-01 Australia Sydney
16th IEEE International Conference on Trust, Security And Privacy In Computing And Communications2017-08-01 Australia Sydney
11th IEEE International Conference on Big Data Science and Engineering
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