Local Query Mining in a Probabilistic Prolog
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
@inproceedings{ijcai2009p185,
title = {Local Query Mining in a Probabilistic Prolog},
author = {Kimmig, Angelika and de Raedt, Luc},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1095--1099},
year = {2009},
url = {https://ijcai.org/proceedings/2009/185},
}
TY - CPAPER TI - Local Query Mining in a Probabilistic Prolog AU - Kimmig, Angelika AU - de Raedt, Luc T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1095 EP - 1099 UR - https://ijcai.org/proceedings/2009/185 ER -Copied
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