| Inducing multi-level association rules from multiple relations FA Lisi, D Malerba Machine Learning 55 (2), 175-210, 2004 | 159 | 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 | 132 | 2003 |
| Machine learning for intelligent processing of printed documents F Esposito, D Malerba, FA Lisi Journal of Intelligent Information Systems 14, 175-198, 2000 | 69 | 2000 |
| Mining spatial association rules in census data D Malerba, F Esposito, FA Lisi, A Appice Research in Official Statistics 5 (1), 19-44, 2003 | 68 | 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 | 61 | 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 | 56 | 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 Inductive Logic Programming: 11th International Conference, ILP 2001 …, 2001 | 55 | 2001 |
| Learning recursive theories with ATRE D Malerba, F Esposito, FA Lisi 13th European Conference on Artificial Intelligence, Brighton, UK, August 23 …, 1998 | 44 | 1998 |
| Ideal Refinement of Descriptions in -Log FA Lisi, D Malerba Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged …, 2003 | 42 | 2003 |
| 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 | 35 | 2002 |
| 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 | 30 | 2001 |
| 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 | 30 | 2001 |
| Learning in description logics with fuzzy concrete domains FA Lisi, U Straccia Fundamenta Informaticae 140 (3-4), 373-391, 2015 | 29 | 2015 |
| Inductive logic programming in databases: From datalog to FA Lisi Theory and Practice of Logic Programming 10 (3), 331-359, 2010 | 28 | 2010 |
| A logic-based computational method for the automated induction of fuzzy ontology axioms FA Lisi, U Straccia Fundamenta Informaticae 124 (4), 503-519, 2013 | 26 | 2013 |
| Bridging the gap between horn clausal logic and description logics in inductive learning FA Lisi, D Malerba AI* IA 2003: Advances in Artificial Intelligence: 8th Congress of the …, 2003 | 22 | 2003 |
| 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 | 21 | 2011 |
| Efficient Evaluation of Candidate Hypotheses in -log FA Lisi, F Esposito Inductive Logic Programming: 14th International Conference, ILP 2004, Porto …, 2004 | 21 | 2004 |
| Principles of Inductive Reasoning on the Semantic Web: A Framework for Learning in -Log FA Lisi Principles and Practice of Semantic Web Reasoning: Third International …, 2005 | 20 | 2005 |
Umberto StracciaDirector of Research, Consiglio Nazionale delle Ricerche (CNR), ItalyVerified email at isti.cnr.it
