[1]郭小芳,李锋,刘庆华.一种有效的多元时间序列相似性度量算法分析[J].江西师范大学学报(自然科学版),2013,(01):56-59.
 GUO Xiao-fang,LI Feng,LIU Qing-hua.The Analysis for an Effective Algorithm of Similarity Measurement of Multivariate Time Series[J].,2013,(01):56-59.
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一种有效的多元时间序列相似性度量算法分析()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年01期
页码:
56-59
栏目:
出版日期:
2013-01-01

文章信息/Info

Title:
The Analysis for an Effective Algorithm of Similarity Measurement of Multivariate Time Series
作者:
郭小芳;李锋;刘庆华
江苏科技大学计算机科学与工程学院,江苏镇江,212003;江苏科技大学电子信息学院,江苏镇江,212003
Author(s):
GUO Xiao-fang;LI Feng;LIU Qing-hua
关键词:
多元时间序列相似性度量欧几里德距离扩展Frobenius范数
Keywords:
multivariate time series similarity measurement Euclidean distance extended Frobenius Norm(Eros)
分类号:
TP391
文献标志码:
A
摘要:
为验证Eros距离对MTS数据集相似性度量的有效性,针对不同MTS数据集进行了相似性搜索实验研究.结果表明:相对于其他的传统多元时间序列相似性度量,基于Eros距离的相似性度量方法比传统的方法在查全率-查准率上具有更大的优越性.
Abstract:
In order to show the validity of Eros for similarity search on MTS datasets,several experiments were performed on different datasets.The experimental results show that the method of similarity measurement based on Eros distance has superiority in Recall-Precision as compared to the traditional similarity measurements for MTS datasets.

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相似文献/References:

[1]郭小芳,李锋,宋晓宁.一种基于PCA的时间序列异常检测方法[J].江西师范大学学报(自然科学版),2012,(03):280.
 GUO Xiao-fang,LI Feng,SONG Xiao-ning.The Outlier Detection Approach for Multivariate Time Series Based on PCA Analysis[J].,2012,(01):280.

备注/Memo

备注/Memo:
国家自然科学基金(51008143)
更新日期/Last Update: 1900-01-01