| Inducing multi-level association rules from multiple relations FA Lisi, D Malerba Machine Learning 55 (2), 175-210, 2004 | 161 | 2004 |
| Discovery of spatial association rules in geo-referenced census data: A relational mining approach A Appice, M Ceci, A Lanza, FA Lisi, D Malerba Intelligent Data Analysis 7 (6), 541-566, 2003 | 137 | 2003 |
| Machine learning for intelligent processing of printed documents F Esposito, D Malerba, FA Lisi Journal of Intelligent Information Systems 14, 175-198, 2000 | 75 | 2000 |
| Mining spatial association rules in census data D Malerba, F Esposito, FA Lisi, A Appice Research in Official Statistics. v5 i1, 19-44, 2003 | 71 | 2003 |
| Building rules on top of ontologies for the semantic web with inductive logic programming FA Lisi Theory and Practice of Logic Programming 8 (3), 271-300, 2008 | 63 | 2008 |
| Empowering a GIS with inductive learning capabilities: the case of INGENS D Malerba, F Esposito, A Lanza, FA Lisi, A Appice Computers, Environment and Urban Systems 27 (3), 265-281, 2003 | 58 | 2003 |
| An ILP method for spatial association rule mining D Malerba, FA Lisi First Workshop on Multi-Relational Data Mining, 18-29, 2001 | 56 | 2001 |
| Discovering associations between spatial objects: An ILP application D Malerba, FA Lisi International Conference on Inductive Logic Programming, 156-163, 2001 | 55 | 2001 |
| Ideal refinement of descriptions in-log FA Lisi, D Malerba International Conference on Inductive Logic Programming, 215-232, 2003 | 44 | 2003 |
| Learning recursive theories with ATRE D Malerba, F Esposito, FA Lisi 13th European Conference on Artificial Intelligence, Brighton, UK, August 23 …, 1998 | 44 | 1998 |
| Mining spatial association rules in census data: a relational approach D Malerba, FA Lisi, A Appice, F Sblendorio Proceedings of the ECML/PKDD 2, 80-93, 2002 | 36 | 2002 |
| A logic-based computational method for the automated induction of fuzzy ontology axioms FA Lisi, U Straccia Fundamenta Informaticae 124 (4), 503-519, 2013 | 35 | 2013 |
| Machine learning for information extraction from topographic maps D Malerba, F Esposito, A Lanza, FA Lisi, A Appice Geographic data mining and knowledge discovery, 291-314, 2001 | 33 | 2001 |
| An AI application to integrated tourism planning FA Lisi, F Esposito Congress of the Italian Association for Artificial Intelligence, 246-259, 2015 | 32 | 2015 |
| Learning in description logics with fuzzy concrete domains FA Lisi, U Straccia Fundamenta Informaticae 140 (3-4), 373-391, 2015 | 31 | 2015 |
| Automated discovery of dependencies between logical components in document image understanding D Malerba, F Esposito, FA Lisi, O Altamura Proceedings of Sixth International Conference on Document Analysis and …, 2001 | 31 | 2001 |
| Inductive logic programming in databases: From datalog to FA Lisi Theory and Practice of Logic Programming 10 (3), 331-359, 2010 | 29 | 2010 |
| Towards nonmonotonic relational learning from knowledge graphs HD Tran, D Stepanova, MH Gad-Elrab, FA Lisi, G Weikum Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017 | 26 | 2017 |
| Al-quin: An onto-relational learning system for semantic web mining FA Lisi International Journal on Semantic Web and Information Systems (IJSWIS) 7 (3 …, 2011 | 22 | 2011 |
| Bridging the gap between horn clausal logic and description logics in inductive learning FA Lisi, D Malerba Congress of the Italian Association for Artificial Intelligence, 53-64, 2003 | 22 | 2003 |
Corrado MencarUniversità degli Studi di Bari Aldo MoroEmail verificata su uniba.it
