Research issues in mining multiple data streams
Research issues in mining multiple data streams
复制标题
挖掘多数据流的研究问题
DOI：
10.1145/1833280.1833288
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
L. Gruenwald
中科院分区：
文献类型：
--
作者：
Wenyan Wu;L. Gruenwald
存在具有挖掘需求的数据流的新兴应用。尽管单数据流挖掘已经被广泛研究，但对于挖掘多数据流（MDS）的研究却很少，因为多数据流比单数据流更复杂，并且涉及许多实际应用。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，明确了MDS挖掘的研究问题。
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.