Performance evaluation of EWMA and CUSUM control charts to detect anomalies in social networks using average and standard deviation of degree measures.
Seyed Soheil HosseiniRassoul NoorossanaPublished in: Qual. Reliab. Eng. Int. (2018)
Keyphrases
- standard deviation
- cumulative sum
- control charts
- weighted moving average
- anomaly detection
- detect anomalies
- social networks
- statistical process control
- process control
- intrusion detection
- social network analysis
- abnormal patterns
- impulse response
- adaptive control
- normal distribution
- face recognition
- dominant orientation
- correlation coefficient
- network traffic
- intrusion detection system
- genetic algorithm
- root mean square error
- parallel algorithm
- machine learning
- data mining
- random samples
- estimation error
- unsupervised learning
- high dimensional
- object recognition