Time Series Anomaly Searching Based on DBSCAN Ensembles

作     者：Chesnokov, M. Yu. 

作者机构：Moscow Inst Phys & Technol Dept Theoret & Appl Problems Innovat Moscow 117303 Russia 

出 版 物：《SCIENTIFIC AND TECHNICAL INFORMATION PROCESSING》 (科技信息处理)

年 卷 期：2019年第46卷第5期

页      面：299-305页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 120501[管理学-图书馆学] 120502[管理学-情报学] 

主　　题：anomaly search time series ensemble of algorithms DBSCAN 

摘      要：This article suggests a technique for building an ensemble based on the DBSCAN algorithm. This technique uses the internal structure of a time series for adaptively selecting input parameters. When used in experiments, it shows a narrower variance and higher levels of anomaly detection using real and synthetic data compared with a number of popular approaches.