Title
Anomaly detection based on a granular Markov model
Abstract
•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.
Year
DOI
Venue
2022
10.1016/j.eswa.2021.115744
Expert Systems with Applications
Keywords
DocType
Volume
Time series data,Anomaly detection,Interval information granules,Principle of justifiable granularity
Journal
187
ISSN
Citations 
PageRank 
0957-4174
1
0.35
References 
Authors
0
4
Name
Order
Citations
PageRank
Yanjun Zhou110.69
HuoRong Ren2203.69
Zhi Wu Li347038.43
W. Pedrycz4139661005.85