| 数据流管理和挖掘技术探析 |
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| 引用本文： | 马瑞民,王小龙.数据流管理和挖掘技术探析[J].计算机应用研究,2006,23(8):85-88. |
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| 作者姓名： | 马瑞民 王小龙 |
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| 作者单位： | 大庆石油学院,计算机与信息技术学院,黑龙江,大庆,163318 |
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| 摘 要： | 数据流管理和挖掘技术是数据库领域的新研究方向之一。概述了数据库技术的发展趋势以及数据流的概念、特点、体系结构、应用领域，分析了数据流概要数据结构的构造问题和数据流的连续近似查询技术，最后介绍了数据流挖掘技术。旨在描述数据流管理和挖掘技术的发展概况，为进一步的研究提供有益的借鉴。
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| 关 键 词： | 泛数据 数据流 概要数据结构 连续近似查询 数据流挖掘 |
| 文章编号： | 1001-3695(2006)08-0085-04 |
| 收稿时间： | 2005-05-12 |
| 修稿时间： | 2005-10-02 |
Technology of Data Stream Management and Mining |
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| MA Rui min,WANG Xiao long.Technology of Data Stream Management and Mining[J].Application Research of Computers,2006,23(8):85-88. |
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| Authors: | MA Rui min WANG Xiao long |
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| Affiliation: | (College of Computer & Information Technology, Daqing Petroleum Institute, Daqing Heilongjiang 163318, China) |
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| Abstract: | The research on data stream is one of the hot topics among the database domain all over the world resently. Firstly, the trend of database technology is summarized, and concepts, characteristics, architecture, applications of data stream are outlined. Second, some methods of constructing synopsis data structure are analyzed concisely, the technology of continuous approximate query is analyzed summarily. Finally, the research on data stream mining is analyzed. The objective of this paper is to contribute to the overall understanding of the technologies available for managing and mining data streams. |
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| Keywords: | Pan-data Data Stream Synopsis Data Structure Continuous Approximate Query Data Stream Mining |
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