Stream mining a review: Tool and techniques

Ashish Kumar, Ajmer Singh
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引用次数: 3

Abstract

Stream mining is a trending field of research in this digital age. With the increase in number of users of digital technologies, data is generating exponentially and so is the need to analyse it. This data is very huge in size and cannot be kept stored for a long time, so it must be processed as soon as possible to make space for newly arriving data & to achieve this different single scan algorithms are to be used. The recent technology IOT (Internet of Things) would connect systems and people together, but it would also lead to generation of huge data streams, thus present and future scope of data stream mining is highly propitious. The task of mining the data stream acts as a source of inspiration for many researchers, because of the opportunities it has to offer. This paper is a review of different techniques and tools used for data stream mining.
流挖掘综述:工具和技术
流挖掘是数字时代的一个趋势研究领域。随着数字技术用户数量的增加,数据呈指数级增长,因此需要对其进行分析。这些数据非常庞大,不能长时间保存,因此必须尽快处理,为新到达的数据腾出空间&要实现这一点,需要使用不同的单次扫描算法。最近的物联网技术将系统和人连接在一起,但它也会导致巨大的数据流的产生,因此数据流挖掘现在和未来的范围都是非常有利的。挖掘数据流的任务是许多研究人员的灵感来源,因为它提供了机会。本文综述了用于数据流挖掘的不同技术和工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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