Al-Rifai, Sufyan SabahShaban, Ali MuwafaqShihab, Muhmmad Shihab MuayadMustafa, Ahmed ShamilAlhalboosi, Hussein AliShantaf, Ahmed Muhi2021-05-152021-05-1520209781728193526https://doi.org/10.1109/HORA49412.2020.9152919https://hdl.handle.net/20.500.12939/11062nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 -- 26 June 2020 through 27 June 2020 -- -- 162106Recent progress in software and hardware has allowed different data measurements in a variety of fields to be captured. These measures are produced continuously at very fluctuating data rates. For example, network sensors, web logs and computer network traffic. Computer-intensive activities are the collection, query and removal of these data sets. Mining data sources include the recovery of knowledge systems incorporated into templates and trends on streams of non-stop information. Because of the importance of its applications and the increasing generation of data stream research, information. Information. Information. Analysis applications for data streams can range from critical scientific and astronomical applications to major business and financial applications. Algorithms, processes and structures Streaming challenges have been developed over the last three years. We present the newest in this increasingly important field in this review paper. © 2020 IEEE.eninfo:eu-repo/semantics/closedAccessBig DataComponentsData MiningConference Object10.1109/HORA49412.2020.91529192-s2.0-85089705154N/AWOS:000644404300083N/A