Big-data-driven anomaly detection in industry (4.0): An approach and a case study.
Ljiljana StojanovicMarko DinicNenad StojanovicAleksandar StojadinovicPublished in: IEEE BigData (2016)
Keyphrases
- anomaly detection
- big data
- case study
- intrusion detection
- data analytics
- cloud computing
- data management
- network intrusion detection
- network traffic
- data analysis
- detecting anomalies
- data processing
- business intelligence
- intrusion detection system
- social media
- data science
- anomalous behavior
- knowledge discovery
- one class support vector machines
- big data analytics
- data sets
- data warehousing
- information processing
- detect anomalies
- unsupervised learning
- machine learning
- network anomaly detection
- business analytics
- real world
- negative selection algorithm
- databases