| Process mining manifesto W Aalst, A Adriansyah, AKA Medeiros, F Arcieri, T Baier, T Blickle, ... International conference on business process management, 169-194, 2011 | 1401 | 2011 |
| Discovering expressive process models by clustering log traces G Greco, A Guzzo, L Pontieri, D Sacca IEEE Transactions on knowledge and data engineering 18 (8), 1010-1027, 2006 | 396 | 2006 |
| Process mining based on clustering: A quest for precision AKA Medeiros, A Guzzo, G Greco, WMP Van der Aalst, A Weijters, ... International conference on business process management, 17-29, 2007 | 166 | 2007 |
| Mining expressive process models by clustering workflow traces G Greco, A Guzzo, L Pontieri, D Sacca Pacific-Asia conference on knowledge discovery and data mining, 52-62, 2004 | 96 | 2004 |
| Mining and reasoning on workflows G Greco, A Guzzo, G Manco, D Sacca IEEE transactions on knowledge and data engineering 17 (4), 519-534, 2005 | 95 | 2005 |
| Mining hierarchies of models: From abstract views to concrete specifications G Greco, A Guzzo, L Pontieri International conference on Business Process management, 32-47, 2005 | 81 | 2005 |
| Outlier detection techniques for process mining applications L Ghionna, G Greco, A Guzzo, L Pontieri International symposium on methodologies for intelligent systems, 150-159, 2008 | 67 | 2008 |
| Mining taxonomies of process models G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 67 (1), 74-102, 2008 | 60 | 2008 |
| Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction F Folino, G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 70 (12), 1005-1029, 2011 | 57 | 2011 |
| An ontology-driven process modeling framework G Greco, A Guzzo, L Pontieri, D Saccą International Conference on Database and Expert Systems Applications, 13-23, 2004 | 41 | 2004 |
| Process discovery under precedence constraints G Greco, A Guzzo, F Lupia, L Pontieri ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (4), 1-39, 2015 | 35 | 2015 |
| Coclustering multiple heterogeneous domains: Linear combinations and agreements G Greco, A Guzzo, L Pontieri IEEE Transactions on Knowledge and Data Engineering 22 (12), 1649-1663, 2009 | 31 | 2009 |
| Discovering expressive process models from noised log data F Folino, G Greco, A Guzzo, L Pontieri Proceedings of the 2009 international database engineering & applications …, 2009 | 23 | 2009 |
| Integrating ontology and workflow in PROTEUS, a grid-based problem solving environment for bioinformatics M Cannataro, C Comito, A Guzzo, P Veltri International Conference on Information Technology: Coding and Computing …, 2004 | 23 | 2004 |
| Intrusion detection with hypergraph-based attack models A Guzzo, A Pugliese, A Rullo, D Sacca Graph Structures for Knowledge Representation and Reasoning, 58-73, 2014 | 21 | 2014 |
| Mining frequent instances on workflows G Greco, A Guzzo, G Manco, D Saccą Pacific-Asia Conference on Knowledge Discovery and Data Mining, 209-221, 2003 | 21 | 2003 |
| An effective approach to inverse frequent set mining A Guzzo, D Sacca, E Serra 2009 Ninth IEEE International Conference on Data Mining, 806-811, 2009 | 20 | 2009 |
| Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs A Guzzo, L Moccia, D Saccą, E Serra ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (4), 1-39, 2013 | 18 | 2013 |
| Constrained coalition formation on valuation structures: Formal framework, applications, and islands of tractability G Greco, A Guzzo Artificial Intelligence 249, 19-46, 2017 | 17 | 2017 |
| Mining unconnected patterns in workflows G Greco, A Guzzo, G Manco, D Sacca Information Systems 32 (5), 685-712, 2007 | 17 | 2007 |
