| A lazy approach to pruning classification rules E Baralis, P Garza Proceedings of the 2002 IEEE International Conference on Data Mining, 35-42, 2002 | 137 | 2002 |
| A lazy approach to associative classification E Baralis, S Chiusano, P Garza IEEE Transactions on Knowledge and Data Engineering 20 (2), 156-171, 2007 | 120 | 2007 |
| Infrequent weighted itemset mining using frequent pattern growth L Cagliero, P Garza IEEE transactions on knowledge and data engineering 26 (4), 903-915, 2013 | 101 | 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 | 76 | 2004 |
| Generalized association rule mining with constraints E Baralis, L Cagliero, T Cerquitelli, P Garza Information Sciences 194, 68-84, 2012 | 70 | 2012 |
| Towards feasible topology formation algorithms for bluetooth-based wpan's CF Chiasserini, MA Marsan, E Baralis, P Garza 36th Annual Hawaii International Conference on System Sciences, 2003 …, 2003 | 49 | 2003 |
| Support driven opportunistic aggregation for generalized itemset extraction E Baralis, L Cagliero, T Cerquitelli, V D'Elia, P Garza 2010 5th IEEE International Conference Intelligent Systems, 102-107, 2010 | 43 | 2010 |
| Answering XML queries by means of data summaries E Baralis, P Garza, E Quintarelli, L Tanca ACM Transactions on Information Systems (TOIS) 25 (3), 10-es, 2007 | 41 | 2007 |
| Mwi-sum: A multilingual summarizer based on frequent weighted itemsets E Baralis, L Cagliero, A Fiori, P Garza ACM Transactions on Information Systems (TOIS) 34 (1), 1-35, 2015 | 39 | 2015 |
| 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 | 36 | 2017 |
| CAS-Mine: providing personalized services in context-aware applications by means of generalized rules E Baralis, L Cagliero, T Cerquitelli, P Garza, M Marchetti Knowledge and Information Systems 28 (2), 283-310, 2011 | 33 | 2011 |
| Improving classification models with taxonomy information L Cagliero, P Garza Data & Knowledge Engineering 86, 85-101, 2013 | 28 | 2013 |
| EnBay: A novel pattern-based Bayesian classifier E Baralis, L Cagliero, P Garza IEEE Transactions on Knowledge and Data Engineering 25 (12), 2780-2795, 2012 | 26 | 2012 |
| I‐prune: Item selection for associative classification E Baralis, P Garza International Journal of Intelligent Systems 27 (3), 279-299, 2012 | 26 | 2012 |
| SeLINA: A self-learning insightful network analyzer D Apiletti, E Baralis, T Cerquitelli, P Garza, D Giordano, M Mellia, ... IEEE Transactions on Network and Service Management 13 (3), 696-710, 2016 | 21 | 2016 |
| A parallel mapreduce algorithm to efficiently support itemset mining on high dimensional data D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, P Michiardi Big Data Research 10, 53-69, 2017 | 20 | 2017 |
| Misleading generalized itemset discovery L Cagliero, T Cerquitelli, P Garza, L Grimaudo Expert systems with applications 41 (4), 1400-1410, 2014 | 20 | 2014 |
| Analyzing air pollution on the urban environment E Baralis, T Cerquitelli, S Chiusano, P Garza, MR Kavoosifar 2016 39th International Convention on Information and Communication …, 2016 | 19 | 2016 |
| Top-N recommendations on Unpopular Items with Contextual Knowledge P Cremonesi, P Garza, E Quintarelli, R Turrin | 19 | 2011 |
| Majority classification by means of association rules E Baralis, P Garza European Conference on Principles of Data Mining and Knowledge Discovery, 35-46, 2003 | 19 | 2003 |
Elena BaralisFull Professor, Computer engineering, Politecnico di Torino, ItalyEmail verificata su polito.it
