Anomaly detection
Jump to navigation
Jump to search
Outlier / Anomaly detection
Anomaly detection of numeric data
- Median
- Range Checks
- All values is event or odd
- The values are the same even the column is totally different
Anomaly detection of categorical data (qualitative variable)
- Normal distribution e.g. The interest of audiences should be very different NOT coherent
Anomaly detection for time series data
- Trend
- Dramatically Increase or decrease of rows count for each time period
Anomaly detection for stirng data
- created time of the text message
- time frequency of the text message
- length of the text message
More on: Outlier - Wikipedia