| Materialized view selection in a multidimensional database E Baralis, S Paraboschi, E Teniente VLDB 97, 156-165, 1997 | 589 | 1997 |
| An algebraic approach to rule analysis in expert database systems E Baralis, J Widom Stanford, 1994 | 169 | 1994 |
| A lazy approach to associative classification E Baralis, S Chiusano, P Garza IEEE Transactions on Knowledge and Data Engineering 20 (2), 156-171, 2008 | 159 | 2008 |
| A lazy approach to pruning classification rules E Baralis, P Garza 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 35-42, 2002 | 155 | 2002 |
| GraphSum: Discovering correlations among multiple terms for graph-based summarization E Baralis, L Cagliero, N Mahoto, A Fiori Information Sciences 249, 96-109, 2013 | 151 | 2013 |
| Improved rule analysis by means of triggering and activation graphs E Baralis, S Ceri, S Paraboschi International Workshop on Rules in Database Systems, 163-181, 1995 | 127 | 1995 |
| Real-time analysis of physiological data to support medical applications D Apiletti, E Baralis, G Bruno, T Cerquitelli IEEE transactions on information technology in biomedicine 13 (3), 313-321, 2009 | 121 | 2009 |
| An algebraic approach to static analysis of active database rules E Baralis, J Widom ACM Transactions on Database Systems (TODS) 25 (3), 269-332, 2000 | 120 | 2000 |
| Compile-time and runtime analysis of active behaviors E Baralis, S Ceri, S Paraboschi IEEE Transactions on knowledge and data engineering 10 (3), 353-370, 2002 | 113 | 2002 |
| Concept-based explainable artificial intelligence: A survey E Poeta, G Ciravegna, E Pastor, T Cerquitelli, E Baralis ACM Computing Surveys, 2023 | 109 | 2023 |
| Generalized association rule mining with constraints E Baralis, L Cagliero, T Cerquitelli, P Garza Information Sciences 194, 68-84, 2012 | 104 | 2012 |
| Knowledge graph embeddings with node2vec for item recommendation E Palumbo, G Rizzo, R Troncy, E Baralis, M Osella, E Ferro European semantic web conference, 117-120, 2018 | 101 | 2018 |
| Entropy-based attention regularization frees unintended bias mitigation from lists G Attanasio, D Nozza, D Hovy, E Baralis arXiv preprint arXiv:2203.09192, 2022 | 99 | 2022 |
| entity2rec: Property-specific knowledge graph embeddings for item recommendation E Palumbo, D Monti, G Rizzo, R Troncy, E Baralis Expert Systems with Applications 151, 113235, 2020 | 99 | 2020 |
| Modularization techniques for active rules design E Baralis, S Ceri, S Paraboschi ACM Transactions on Database Systems (TODS) 21 (1), 1-29, 1996 | 99 | 1996 |
| Designing templates for mining association rules E Baralis, G Psaila Journal of Intelligent Information Systems 9 (1), 7-32, 1997 | 95 | 1997 |
| Frequent itemsets mining for big data: a comparative analysis D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, L Venturini Big data research 9, 67-83, 2017 | 87 | 2017 |
| Multi-document summarization based on the Yago ontology E Baralis, L Cagliero, S Jabeen, A Fiori, S Shah Expert Systems with Applications 40 (17), 6976-6984, 2013 | 86 | 2013 |
| On support thresholds in associative classification E Baralis, S Chiusano, P Garza Proceedings of the 2004 ACM symposium on Applied computing, 553-558, 2004 | 81 | 2004 |
| Better termination analysis for active databases E Baralis, S Ceri, J Widom Rules in Database Systems: Proceedings of the 1st International Workshop on …, 1994 | 72 | 1994 |
Tania CerquitelliFull Professor, Dept. of Control and Computer Engineering,Politecnico di TorinoVerified email at polito.it
