Extending Isolation Forest for Anomaly Detection in Big Data via K-Means.
Md. Tahmid Rahman LaskarJimmy HuangVladan SmetanaChris StewartKees PouwAijun AnStephen ChanLei LiuPublished in: CoRR (2021)
Keyphrases
- big data
- anomaly detection
- k means
- intrusion detection
- anomalous behavior
- data analysis
- cloud computing
- detecting anomalies
- network intrusion detection
- data processing
- data management
- network traffic
- business intelligence
- big data analytics
- social media
- data science
- clustering algorithm
- network anomaly detection
- detect anomalies
- intrusion detection system
- unsupervised learning
- data warehousing
- self organizing maps
- knowledge discovery
- negative selection algorithm
- learning algorithm
- data mining
- one class support vector machines
- expectation maximization
- database
- pairwise
- information processing
- e learning
- data sets
- text mining