How to Upgrade Propositional Learners to First Order Logic: A Case Study-Reference-Cited by-同舟云学术

How to Upgrade Propositional Learners to First Order Logic: A Case Study

Published:2001 Issue: Volume: Page:235-261
ISSN:
Container-title:Relational Data Mining
language:
Short-container-title:

Author:

Van Laer Wim,De Raedt Luc

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-04599-2_10

Reference71 articles.

1. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. Verkamo. Fast discovery of association rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 307–328. MIT Press, Cambridge, MA, 1996.

2. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207–216. ACM Press, New York, 1993.

3. D. Angluin, M. Frazier, and L. Pitt. Learning conjunctions of Horn clauses. Machine Learning, 9: 147–162, 1992.

4. F. Bergadano and D. Gunetti. An interactive system to learn functional logic programs. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pages 1044–1049. Morgan Kaufmann, San Mateo, CA, 1993.

5. A. Berger, V. Delia Pietra, and S. Delia Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1): 39–71, 1996.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inductive Logic Programming;Encyclopedia of Machine Learning and Data Mining;2017

2. Fast learning of relational dependency networks;Machine Learning;2016-03-22

3. Inductive Logic Programming;Encyclopedia of Machine Learning and Data Mining;2016

4. Upgrading a Granular Computing Based Data Mining Framework to a Relational Case;International Journal of Intelligent Systems;2014-01-10

5. Relational Data Mining;Data Mining and Knowledge Discovery Handbook;2009