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Review in Data Stream Mining in Big Data
2020
International Journal for Research in Applied Science and Engineering Technology
Data stream mining in big data is a process in which large streams of real-time data are processed with the sole aim of extracting insights and useful trends out of it. Streaming data study in real time is fetching the efficient and fastest way to obtain constructive knowledge from what is occurrence now, allowing concern to react quickly when problems emerge to detect new trends helping to recover their performance. In this paper, we have a tendency to reward the theoretical foundations of
doi:10.22214/ijraset.2020.1075
fatcat:bre434jmpbdlza64npysuzza4a