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数据流的预测与分类研究 被引量：2

Research on Prediction and Classification over Data Streams
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摘要 数据流的预测和分类技术在网络入侵发现、系统性能分析等应用中具有重要的应用。作者对近年来有关数据流预测和分类的进展做了总结,并提出了一个数据流的预测和分类的通用模型,可用于系统性能的实时预测与异常检测。 Prediction and classification over data streams for actionable insights has become an important and challenging task for a wide field of applications including network intrusion detection, system performance analysis etc. The author emphasizes the improvements of prediction and classification over data streams in recent years, then a data stream of prediction and classification normal model is proposed. It can be used in real-time prediction and outlier detection of system performance.
作者 刘耀宗 王湛 张宏 刘凤玉
机构地区 南京理工大学计算机科学与技术学院
出处 《计算机科学》 CSCD 北大核心 2007年第11期170-173,共4页 Computer Science
基金 国家自然科学基金(No.60273035)
关键词 数据流 预测与分析 性能分析 Data streams,Prediction and classification,Performance analysis
分类号 TP391.1 [自动化与计算机技术—计算机应用技术]
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参考文献28

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二级参考文献19

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计算机科学
2007年 第11期

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