Anomaly Detection of Big Data Based on Improved Fast Density Peak Clustering Algorithm.
Fulong ZhongTongxi LinPublished in: ICMTEL (3) (2023)
Keyphrases
- anomaly detection
- big data
- clustering algorithm
- clustering analysis
- intrusion detection
- cloud computing
- detecting anomalies
- data analysis
- data processing
- anomalous behavior
- data management
- network intrusion detection
- knowledge discovery
- big data analytics
- network anomaly detection
- network traffic
- data science
- one class support vector machines
- social media
- detect anomalies
- database
- negative selection algorithm
- detecting anomalous
- data sets
- intrusion detection system
- social networks
- data mining
- data mining applications
- data warehousing
- business intelligence
- k means
- case study
- feature selection