Local Query Mining in a Probabilistic Prolog
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
Cite
Text
Kimmig and De Raedt. "Local Query Mining in a Probabilistic Prolog." International Joint Conference on Artificial Intelligence, 2009.Markdown
[Kimmig and De Raedt. "Local Query Mining in a Probabilistic Prolog." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/kimmig2009ijcai-local/)BibTeX
@inproceedings{kimmig2009ijcai-local,
title = {{Local Query Mining in a Probabilistic Prolog}},
author = {Kimmig, Angelika and De Raedt, Luc},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2009},
pages = {1095-1100},
url = {https://mlanthology.org/ijcai/2009/kimmig2009ijcai-local/}
}