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数据流上的连续预测聚集查询
引用本文:郭龙江,李建中,王伟平,张冬冬.数据流上的连续预测聚集查询[J].计算机研究与发展,2004,41(10):1690-1695.
作者姓名:郭龙江  李建中  王伟平  张冬冬
作者单位:1. 哈尔滨工业大学计算机科学与技术学院,哈尔滨,150001;黑龙江大学计算机科学技术学院,哈尔滨,150080
2. 哈尔滨工业大学计算机科学与技术学院,哈尔滨,150001
基金项目:国家自然科学基金重点项目 ( 60 2 73 0 82 ),黑龙江省自然科学基金重点项目 (ZJG0 3 0 5 )
摘    要:提出了一种数据流上未来值的连续查询,称为连续预测查询.采用数理统计的方法给出了带有COUNT聚集函数的连续预测聚集查询实现算法.通过采用TPC-H标准测试数据和随机生成的模拟数据进行了实验.理论和实验结果表明,给出的带有COUNT的连续预测聚集查询实现算法具有很高的性能和精度.

关 键 词:数据流  连续查询  连续预测查询

Predictive Continuous Aggregate Queries over Data Streams
GUO Long Jiang ,LI Jian Zhong ,WANG Wei Ping ,and ZHANG Dong Dong.Predictive Continuous Aggregate Queries over Data Streams[J].Journal of Computer Research and Development,2004,41(10):1690-1695.
Authors:GUO Long Jiang    LI Jian Zhong    WANG Wei Ping  and ZHANG Dong Dong
Institution:GUO Long Jiang 1,2,LI Jian Zhong 1,2,WANG Wei Ping 1,and ZHANG Dong Dong 1 1
Abstract:Predictive continuous aggregate queries over data streams are proposed in this paper Models and algorithms for predicting the aggregate value, such as count, over data streams based on recent data are given using statistics Extensive experimental studies based on real benchmark data and synthetic data are carried out to demonstrate the accuracy of the techniques Analysis and experimental results show that the techniques in terms of statistics could obtain better accuracy of prediction of aggregate values over data streams in the future
Keywords:data streams  continuous queries  predictive continuous queries
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