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流数据聚类研究综述

Overview of Clustering Research Over Data Stream
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摘要 流数据挖掘技术是数据挖掘领域的新研究方向之一,而聚类研究又是其重要的内容。本文介绍了流数据基本特点,在统一流聚类表示模型的基础上,对现有流数据聚类算法进行了总结,并进一步提出了流数据聚类技术的研究方向和前景。 Stream data mining technology is one of the new research directions in the field of data mining , while the clustering research is its important content. stream data and summarizes the existing data stream cluster representation model. And further puts forword the research This article describes the general features of algorithm on the basis of uniform stream data direction and prospect of data stream cluster technology.
作者 付淇 黎虹 李广振
机构地区 江西科技师范学院
出处 《科技广场》 2010年第1期237-240,共4页 Science Mosaic
关键词 流数据 聚类 表示模型 Data Stream Clustering Representation Model
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献14

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二级参考文献65

  • 1金澈清,钱卫宁,周傲英.流数据分析与管理综述[J].软件学报,2004,15(8):1172-1181. 被引量：163
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2010年 第1期

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