| A multidisciplinary survey on discrimination analysis A Romei, S Ruggieri The Knowledge Engineering Review, 1-57, 2013 | 374 | 2013 |
| Preprocessing and mining web log data for web personalization M Baglioni, U Ferrara, A Romei, S Ruggieri, F Turini AI* IA 2003: Advances in Artificial Intelligence: 8th Congress of the …, 2003 | 125 | 2003 |
| Ontology-driven association rule extraction: A case study A Bellandi, B Furletti, V Grossi, A Romei Contexts and Ontologies Representation and Reasoning 10, 1-10, 2007 | 61 | 2007 |
| KDDML: a middleware language and system for knowledge discovery in databases A Romei, S Ruggieri, F Turini Data & Knowledge Engineering 57 (2), 179-220, 2006 | 52 | 2006 |
| Survey on using constraints in data mining V Grossi, A Romei, F Turini Data mining and knowledge discovery 31 (2), 424-464, 2017 | 39 | 2017 |
| Discrimination data analysis: a multi-disciplinary bibliography A Romei, S Ruggieri Discrimination and Privacy in the Information Society: Data Mining and …, 2013 | 35 | 2013 |
| The layered structure of company share networks A Romei, S Ruggieri, F Turini 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 20 | 2015 |
| Discrimination discovery in scientific project evaluation: A case study A Romei, S Ruggieri, F Turini Expert Systems with Applications, 2013 | 20 | 2013 |
| Discovering gender discrimination in project funding A Romei, S Ruggieri, F Turini 2012 IEEE 12th international conference on data mining workshops, 394-401, 2012 | 15 | 2012 |
| Inductive database languages: requirements and examples A Romei, F Turini Knowledge and Information Systems 26 (3), 351-384, 2011 | 13 | 2011 |
| XML data mining A Romei, F Turini Software: Practice and Experience 40 (2), 101-130, 2010 | 13 | 2010 |
| Pushing constraints in association rule mining: an ontology-based approach A Bellandi, B Furletti, V Grossi, A Romei Proceedings of the IADIS International Conference WWW/INTERNET, 2007 | 9 | 2007 |
| A case study in sequential pattern mining for it-operational risk V Grossi, A Romei, S Ruggieri Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 8 | 2008 |
| Ontological support for association rule mining A Bellandi, B Furletti, V Grossi, A Romei Proceedings of the 26th IASTED International Conference on Artificial …, 2008 | 7 | 2008 |
| KDDML‐G: a grid‐enabled knowledge discovery system A Romei, M Sciolla, F Turini, M Valentini Concurrency and Computation: Practice and Experience 19 (13), 1785-1809, 2007 | 5 | 2007 |
| MATE, a Meta Layer Between Natural Language and Database. I Sucameli, A Bondielli, LC Passaro, E Annunziata, G Lucherini, A Romei, ... NL4AI@ AI* IA, 153-163, 2022 | 2 | 2022 |
| Programming the KDD process using XQuery A Romei, F Turini International Conference on Knowledge Discovery and Information Retrieval 2 …, 2011 | 2 | 2011 |
| Extending KDDML with a Visual Metaphor for the KDD Process V Grossi, A Romei International Conference on Advances in Visual Information Systems, 138-149, 2008 | 2 | 2008 |
| XQuake as a constraint-based mining language V Grossi, A Romei Proceedings of the ECAI 2012 workshop on combining constraint solving with …, 2012 | 1 | 2012 |
| XQuake: an XQuery-like language for mining XML data A Romei, F Turini Proceedings of the International Conference on Agents and Artificial …, 2010 | 1 | 2010 |
