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 | 1972 | 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 | 442 | 2006 |
Fast detection of XML structural similarity S Flesca, G Manco, E Masciari, L Pontieri, A Pugliese IEEE Transactions on Knowledge and Data Engineering 17 (2), 160-175, 2005 | 205 | 2005 |
Discovering context-aware models for predicting business process performances F Folino, M Guarascio, L Pontieri On the Move to Meaningful Internet Systems: OTM 2012: Confederated …, 2012 | 150 | 2012 |
Detecting Structural Similarities between XML Documents. S Flesca, G Manco, E Masciari, L Pontieri, A Pugliese WebDB 2, 55-60, 2002 | 140 | 2002 |
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 | 104 | 2004 |
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 | 90 | 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 | 87 | 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 | 79 | 2011 |
Mining taxonomies of process models G Greco, A Guzzo, L Pontieri Data & Knowledge Engineering 67 (1), 74-102, 2008 | 70 | 2008 |
On learning effective ensembles of deep neural networks for intrusion detection F Folino, G Folino, M Guarascio, FS Pisani, L Pontieri Information Fusion 72, 48-69, 2021 | 58 | 2021 |
Mining predictive process models out of low-level multidimensional logs F Folino, M Guarascio, L Pontieri Advanced Information Systems Engineering: 26th International Conference …, 2014 | 53 | 2014 |
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 | 49 | 2015 |
Intensional and extensional integration and abstraction of heterogeneous databases L Palopoli, L Pontieri, G Terracina, D Ursino Data & Knowledge Engineering 35 (3), 201-237, 2000 | 47 | 2000 |
An ontology-driven process modeling framework G Greco, A Guzzo, L Pontieri, D Saccą Database and Expert Systems Applications: 15th International Conference …, 2004 | 46 | 2004 |
Improving range query estimation on histograms F Buccafurri, D Rosaci, L Pontieri, D Saccą Proceedings 18th International Conference on Data Engineering, 628-638, 2002 | 41 | 2002 |
Efficiently interpreting traces of low level events in business process logs B Fazzinga, S Flesca, F Furfaro, E Masciari, L Pontieri Information Systems 73, 1-24, 2018 | 40 | 2018 |
Integrating and managing conflicting data S Greco, L Pontieri, E Zumpano Perspectives of System Informatics: 4th International Andrei Ershov Memorial …, 2001 | 36 | 2001 |
Mining multi-variant process models from low-level logs F Folino, M Guarascio, L Pontieri Business Information Systems: 18th International Conference, BIS 2015 …, 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 | 33 | 2009 |