# A Bayesian Method for Constructing Bayesian Belief Networks from Databases

arXiv: https://arxiv.org/abs/1303.5714 · HTML: https://mlsanity.com/paper/1303.5714/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Mar 2013.

## Built on by (most cited first, 4 of 4)

- [Partitioned hybrid learning of Bayesian network structures](https://mlsanity.com/paper/2103.12188/) (2021)
- [Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks](https://mlsanity.com/paper/2406.17518/) (2024)
- [Needmining: Designing Digital Support to Elicit Needs from Social Media](https://mlsanity.com/paper/2101.06146/) (2021)
- [How do some Bayesian Network machine learned graphs compare to causal knowledge?](https://mlsanity.com/paper/2101.10461/) (2021)

## Abstract (arXiv)

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.