---
title: "Local Query Mining in a Probabilistic Prolog"
authors:
  - "Angelika Kimmig"
  - "Luc De Raedt"
doi: ""
url: "https://ijcai.org/proceedings/2009/185"
pdf: "https://ijcai.org/proceedings/2009/0185.pdf"
venue: "Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence"
year: 2009
pages: "1095-1099"
track: ""
keywords:
---

# Local Query Mining in a Probabilistic Prolog

Angelika Kimmig, Luc De Raedt

*Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence*, pages 1095-1099.

## Abstract

Local pattern mining is concerned with finding the set of patterns that satisfy a constraint in a database. We study local pattern mining in the context of ProbLog, a probabilistic Prolog system, and introduce an approach for finding correlated patterns in the form of queries in such a Prolog system. The approach combines principles of inductive logic programming, data mining and statistical relational learning. Experiments on a challenging biological network mining task provide evidence for the interestingness of the approach.Angelika Kimmig, Luc De Raedt