Research issues in mining multiple data streams

Wenyan Wu, L. Gruenwald
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引用次数: 27

Abstract

There exist emerging applications of data streams that have mining requirements. Although single data stream mining has been extensively studied, little research has been done for mining multiple data streams (MDS), which are more complex than single data streams and involved in many real-world applications. This paper discusses the characteristics of MDS, proposes a formal definition for them, analyzes MDS application in terms of mining requirements, and identifies research issues for MDS mining.
多数据流挖掘的研究问题
存在具有挖掘需求的数据流的新兴应用。虽然单数据流挖掘已经得到了广泛的研究,但对多数据流(MDS)的挖掘研究很少,MDS比单数据流更复杂,涉及许多实际应用。本文讨论了MDS的特点,提出了MDS的形式化定义,从挖掘需求的角度分析了MDS的应用,提出了MDS挖掘的研究问题。
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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