{"type":"ScholarlyArticle","title":"Local Query Mining in a Probabilistic Prolog","authors":[{"name":"Angelika Kimmig","slug":"angelika-kimmig","given":"Angelika","family":"Kimmig","affiliation":""},{"name":"Luc De Raedt","slug":"luc-de-raedt","given":"Luc","family":"de Raedt","affiliation":""}],"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","doi":null,"url":"https://ijcai.org/proceedings/2009/185","pdf":"https://ijcai.org/proceedings/2009/0185.pdf","markdown":"https://ijcai.org/proceedings/2009/185.md","bibtex":"https://ijcai.org/proceedings/2009/bibtex/185","volume":{"slug":"2009","title":"Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2009","url":"https://ijcai.org/proceedings/2009/","year":2009,"location":"Pasadena, California, USA","dates":"","editors":"Hiroaki Kitano","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":185,"pages":{"first":1095,"last":1099},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}