A Bayesian Method for Constructing Bayesian Belief Networks from
  Databases
  This paper presents a Bayesian method for constructing Bayesian belief
networks from a database of cases. Potential applications include
computer-assisted hypothesis testing, automated scientific discovery, and
automated construction of probabilistic expert systems. Results are presented
of a preliminary evaluation of an algorithm for constructing a belief network
from a database of cases. We relate the methods in this paper to previous work,
and we discuss open problems.
