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User Interface
Build Bayesian networks from data or manually. Perform advanced queries and analytics.
Compact view / groups
Visualize the structure of your data using compact view and groups.
Link strength
Visualize the strength of connections in your network.
Decision automation
Decision graphs (influence diagrams) enable the automation of decisions under uncertainty.
Time series
Build multi-variate time series models with Dynamic Bayesian networks
Advanced APIs
Advanced .NET & JAVA APIs. Integrates with Python, R, Matlab, Apache Spark & Excel functions.
Structural learning
Automatically discover structure within your data.
Diagnostics
Perform backwards reasoning to diagnose faulty equipment or diagnose diseases.
Anomaly detection
Detect unusual behavior using advanced multi-variate anomaly detection techniques.
Automated insight
Automatically extract important information from data
Advanced prediction
Perform complex queries. E.g. P(X, Y[t=0], Y[t=3] | P(Z[t=2], A).
Batch query
Query data in a spreadsheet or database, and evaluate model performance.
Query explorer
Easily navigate queries from large models and manage custom queries.
Data sampling
Generate sample data from a Bayesian network. Includes support for time series
Mesh query
Visualize queries across a number of dimensions.