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

页码：241 / 246

页数：6

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