| A new SQL-like operator for mining association rules R Meo, G Psaila, S Ceri VLDB 96, 122-133, 1996 | 480 | 1996 |
| An extension to SQL for mining association rules R Meo, G Psaila, S Ceri Data mining and knowledge discovery 2, 195-224, 1998 | 207 | 1998 |
| Preface to ECML PKDD 2014: Joint European Conference on Machine Learning and Knowledge Discovery in Databases T Calders, F Esposito, E Hüllermeier, R Meo Springer 8724 (1, 2, 3), 111-749, 2014 | 157 | 2014 |
| From context to distance: Learning dissimilarity for categorical data clustering D Ienco, RG Pensa, R Meo ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-25, 2012 | 135 | 2012 |
| Context-based distance learning for categorical data clustering D Ienco, RG Pensa, R Meo Advances in Intelligent Data Analysis VIII: 8th International Symposium on …, 2009 | 78 | 2009 |
| A configurable system for the construction of adaptive virtual stores L Ardissono, A Goy, R Meo, G Petrone, L Console, L Lesmo, C Simone, ... World Wide Web 2, 143-159, 1999 | 65 | 1999 |
| A tightly-coupled architecture for data mining R Meo, G Psaila, S Ceri Proceedings 14th International Conference on Data Engineering, 316-323, 1998 | 61 | 1998 |
| Parameter-less co-clustering for star-structured heterogeneous data D Ienco, C Robardet, RG Pensa, R Meo Data Mining and Knowledge Discovery 26, 217-254, 2013 | 60 | 2013 |
| Composite events in Chimera R Meo, G Psaila, S Ceri Advances in Database Technology—EDBT'96: 5th International Conference on …, 1996 | 59 | 1996 |
| Theory of dependence values R Meo ACM Transactions on Database Systems (TODS) 25 (3), 380-406, 2000 | 58 | 2000 |
| A semisupervised approach to the detection and characterization of outliers in categorical data D Ienco, RG Pensa, R Meo IEEE transactions on neural networks and learning systems 28 (5), 1017-1029, 2016 | 54 | 2016 |
| Exploration and reduction of the feature space by hierarchical clustering D Ienco, R Meo Proceedings of the 2008 siam international conference on data mining, 577-587, 2008 | 53 | 2008 |
| Query languages supporting descriptive rule mining: a comparative study M Botta, JF Boulicaut, C Masson, R Meo Database support for data mining applications: discovering knowledge with …, 2004 | 42 | 2004 |
| Processing affect in social media: A comparison of methods to distinguish emotions in tweets R Meo, E Sulis ACM Transactions on Internet Technology (TOIT) 17 (1), 1-25, 2017 | 38 | 2017 |
| Integrating web conceptual modeling and web usage mining R Meo, PL Lanzi, M Matera, R Esposito Advances in Web Mining and Web Usage Analysis: 6th International Workshop on …, 2006 | 37 | 2006 |
| Experiments and comparison of digital twinning of photovoltaic panels by machine learning models and a cyber-physical model in modelica F Delussu, D Manzione, R Meo, G Ottino, M Asare IEEE Transactions on Industrial Informatics 18 (6), 4018-4028, 2021 | 34 | 2021 |
| Parameter-Free Hierarchical Co-clustering by n-Ary Splits D Ienco, RG Pensa, R Meo Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 31 | 2009 |
| A comparison between query languages for the extraction of association rules M Botta, JF Boulicaut, C Masson, R Meo Data Warehousing and Knowledge Discovery: 4th International Conference …, 2002 | 28 | 2002 |
| Optimization of a language for data mining R Meo Proceedings of the 2003 ACM symposium on applied computing, 437-444, 2003 | 26 | 2003 |
| Hierarchical co-clustering: off-line and incremental approaches RG Pensa, D Ienco, R Meo Data Mining and Knowledge Discovery 28, 31-64, 2014 | 24 | 2014 |