Pathfinder: A Bayesian Network for Expert Systems with 109 Nodes

109 nodes and 195 arcs define the Pathfinder Bayesian network, a discrete probabilistic model for expert systems. The network contains 72,079 parameters and was authored by D. Heckerman, E. Horwitz, and B. Nathwani, with foundational research published in 1992.

Use Cases

• Benchmarking structure learning algorithms based on the known network topology.
• Evaluating probabilistic inference methods on a network with 72,079 parameters.
• Studying expert system design principles based on the model's architecture.
• Testing graph classification techniques on a discrete, very-large Bayesian network.

Strengths

• Well-defined network structure with 109 nodes and 195 arcs.
• Large parameter space of 72,079 parameters for complex modeling.
• Clear academic provenance with a cited 1992 publication.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and sample data are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

D. Heckerman, E. Horwitz, and B. Nathwani.

Collection Method

Likely constructed for the Pathfinder expert system project in medical diagnosis.

Time Range

null

Freshness

unknown

Geography

null