山东农业大学学报（自然科学版）2017，Vol.48Issue(2)：287-292,6.DOI:10.3969/j.issn.1000-2324.2017.02.026
基于相似性分析的时间序列异常检测方法
The Detection Method on Abnormal Time Series on account of Similarity Analysis
孙焱 1林意1
作者信息
- 1. 江南大学数字媒体学院,江苏无锡214000
- 折叠
摘要
Abstract
Time series data are collected at different time points according to the time order to reflect an objective variation states and contents with time.This paper took frequency domain to express the time series in consideration of the magnanimity and complexity of time series and propose the detection method on abnormal time series on account of similarity analysis to take a dynamic pattern matching distance as a index to calculate the similarity between every model and others hereby to ensure the abnormal state.This method could greatly reduce the complexity in data search and improve the efficiency and accuracy of the system.关键词
时间序列/相似性分析/动态模式匹配/异常检测Key words
Time series/similarity analysis/dynamic pattern matching/abnormal detection分类
信息技术与安全科学引用本文复制引用
孙焱,林意..基于相似性分析的时间序列异常检测方法[J].山东农业大学学报（自然科学版）,2017,48(2):287-292,6.
