Finding anomalies in time-series using visual correlation for interactive root cause analysis.
Florian StoffelFabian FischerDaniel A. KeimPublished in: VizSEC (2013)
Keyphrases
- root cause analysis
- root cause
- visual information
- anomaly detection
- decision support
- visual features
- database
- correlation coefficient
- visual perception
- user interaction
- virtual reality
- multivariate time series data
- visual data mining
- visual programming
- dynamic time warping
- information retrieval
- stock market
- neural network
- multivariate time series
- decision making
- user friendly
- non stationary
- knowledge base