Anomaly detection based on a granular Markov model
作者：
Highlights：
• Take morphology and shape features into account for granularity representation.
• Using interval information granules to achieve system modelling.
• A granular model is proposed and used in the field of anomaly detection.
• Evaluation indexes are established to quantify the performance.
• Greatly reduce the data volume and improve the detection performance.
摘要
•Take morphology and shape features into account for granularity representation.•Using interval information granules to achieve system modelling.•A granular model is proposed and used in the field of anomaly detection.•Evaluation indexes are established to quantify the performance.•Greatly reduce the data volume and improve the detection performance.
论文关键词：Time series data,Anomaly detection,Interval information granules,Principle of justifiable granularity
论文评审过程：Received 10 October 2020, Revised 4 July 2021, Accepted 7 August 2021, Available online 29 August 2021, Version of Record 15 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115744
