Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012 | 1717 | 2012 |
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 | 417 | 2006 |
Process mining based on clustering: A quest for precision AKA De Medeiros, A Guzzo, G Greco, WMP Van der Aalst, A Weijters, ... Business Process Management Workshops: BPM 2007 International Workshops, BPI …, 2008 | 186 | 2008 |
Mining expressive process models by clustering workflow traces G Greco, A Guzzo, L Pontieri, D Sacca Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference …, 2004 | 100 | 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 | 89 | 2005 |
Outlier detection techniques for process mining applications L Ghionna, G Greco, A Guzzo, L Pontieri Foundations of Intelligent Systems: 17th International Symposium, ISMIS 2008 …, 2008 | 74 | 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 | 68 | 2011 |
Mining taxonomies of process models G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 67 (1), 74-102, 2008 | 65 | 2008 |
An ontology-driven process modeling framework G Greco, A Guzzo, L Pontieri, D Saccà Database and Expert Systems Applications: 15th International Conference …, 2004 | 45 | 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 | 37 | 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 |
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 | 29 | 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 | 26 | 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 | 24 | 2004 |
Intrusion detection with hypergraph-based attack models A Guzzo, A Pugliese, A Rullo, D Sacca Graph Structures for Knowledge Representation and Reasoning: Third …, 2014 | 22 | 2014 |
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs A Guzzo, L Moccia, D Sacca, E Serra ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (4), 1-39, 2013 | 22 | 2013 |
Mining frequent instances on workflows G Greco, A Guzzo, G Manco, D Saccà Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference …, 2003 | 20 | 2003 |
Constrained coalition formation on valuation structures: Formal framework, applications, and islands of tractability G Greco, A Guzzo Artificial Intelligence 249, 19-46, 2017 | 19 | 2017 |
Process mining applications in the healthcare domain: A comprehensive review A Guzzo, A Rullo, E Vocaturo Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (2 …, 2022 | 18 | 2022 |