Anomaly detection for machinery by using Big Data Real-Time processing and clustering technique.
Zhuo WangYanghui ZhouGangmin LiPublished in: ICBDR (2019)
Keyphrases
- anomaly detection
- big data
- real time
- high volume
- data processing
- intrusion detection
- data analysis
- anomalous behavior
- network intrusion detection
- cloud computing
- social media
- unsupervised learning
- detecting anomalies
- big data analytics
- data intensive computing
- intrusion detection system
- network traffic
- business intelligence
- knowledge discovery
- data management
- information processing
- one class support vector machines
- network anomaly detection
- data assimilation
- object oriented
- negative selection algorithm
- cumulative sum
- data mining applications
- detect anomalies
- data model
- data science
- k means
- case study