Plan your analysis

Plan your anomaly detection analysis

The machine learning features in Synapsis ML enable you to seek anomalies in your data in many different ways. Using proprietary machine learning algorithms, the following circumstances are detected:

• Anomalies related to temporal deviations in values, counts, or frequencies
• Anomalies related to unusual locations in geographic data
• Statistical rarity
• Unusual behaviors for a member of a population
• Automated periodicity detection and quick adaptation to changing data ensure that you don’t need to specify algorithms, models, or other data science-related configurations in order to get the benefits of machine learning.

When you are deciding which type of anomaly detection to use, the most important considerations are the data sets that you have available and the type of behavior you want to detect.