A Similarity-Based Method for Visual Search in Time Series Using Coulomb's Law

被引：0
|
作者：
de Andrade, Claudinei Garcia [1 ]
Ribeiro, Marcela Xavier [1 ]
机构：
[1] Univ Fed Sao Carlos, BR-13560 Sao Carlos, SP, Brazil
来源：
SIMILARITY SEARCH AND APPLICATIONS | 2014年 / 8821卷
关键词：
Time series analysis; Index method; Similarity Search; Coulomb's law;
D O I：
10.1007/978-3-319-11988-5_22
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a method for visual search in multidimensional time series based on Coulomb's law. The proposed method integrates: a descriptor based on Coulomb's law for dimensionality reduction in time series; a system to perform similarity searching in time series; and, a module for the visualization of results. Experiments were performed using real data, indicating that the proposed method broadens the quality of through similarity queries in time series.
引用
收藏
页码：241 / 246
页数：6
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