| 数据流管理与挖掘研究 |
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| 引用本文： | 倪志伟,黄玲,李锋刚,忻凌. 数据流管理与挖掘研究[J]. 合肥工业大学学报(自然科学版), 2005, 28(9): 1157-1162 |
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| 作者姓名： | 倪志伟 黄玲 李锋刚 忻凌 |
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| 作者单位： | 合肥工业大学,管理学院,安徽,合肥,230009 |
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| 基金项目： | 安徽省自然科学基金资助项目(050460402) |
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| 摘 要： | 20世纪末,为适应网络监控、商业交易管理和分析等应用的要求,数据流技术应运而生;该文回顾了近年来国内外在该领域的研究进展,总结了数据流的特点、模型及其算法,对数据流管理和挖掘的关键技术进行了分析,并进一步提出了数据流技术研究的方向。
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| 关 键 词： | 数据流 数据流管理 数据流挖掘 动态 |
| 文章编号： | 1003-5060(2005)09-1157-06 |
| 修稿时间： | 2005-06-10 |
Study on management and mining of data stream |
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| NI Zhi-wei,HUANG Ling,LI Feng-gang,XIN Ling. Study on management and mining of data stream[J]. Journal of Hefei University of Technology(Natural Science), 2005, 28(9): 1157-1162 |
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| Authors: | NI Zhi-wei HUANG Ling LI Feng-gang XIN Ling |
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| Abstract: | Since the end of 20th century,data stream techniques have been advanced to meet the requirements of network monitoring,business transaction management,etc.In this paper the domestic and overseas research achievements in recent years are reviewed with focus on the peculiarities and model classification of data streams,the data stream management system and query language,data stream algorithms,and data stream mining techniques.The developing trends of data stream techniques are proposed in the paper. |
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| Keywords: | data stream data stream management data stream mining dynamic |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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