Paolo Garza
Paolo Garza
Associate Professor, Politecnico di Torino
Verified email at polito.it - Homepage
Title
Cited by
Cited by
Year
A lazy approach to pruning classification rules
E Baralis, P Garza
Proceedings of the 2002 IEEE International Conference on Data Mining, 35-42, 2002
1352002
A lazy approach to associative classification
E Baralis, S Chiusano, P Garza
IEEE Transactions on Knowledge and Data Engineering 20 (2), 156-171, 2007
1182007
Infrequent weighted itemset mining using frequent pattern growth
L Cagliero, P Garza
IEEE transactions on knowledge and data engineering 26 (4), 903-915, 2013
952013
On support thresholds in associative classification
E Baralis, S Chiusano, P Garza
Proceedings of the 2004 ACM symposium on Applied computing, 553-558, 2004
752004
Generalized association rule mining with constraints
E Baralis, L Cagliero, T Cerquitelli, P Garza
Information Sciences 194, 68-84, 2012
692012
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
492003
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
432010
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
402007
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
372015
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
342017
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
332011
Improving classification models with taxonomy information
L Cagliero, P Garza
Data & Knowledge Engineering 86, 85-101, 2013
262013
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
252012
I‐prune: Item selection for associative classification
E Baralis, P Garza
International Journal of Intelligent Systems 27 (3), 279-299, 2012
252012
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
202016
Majority classification by means of association rules
E Baralis, P Garza
European Conference on Principles of Data Mining and Knowledge Discovery, 35-46, 2003
192003
Misleading generalized itemset discovery
L Cagliero, T Cerquitelli, P Garza, L Grimaudo
Expert systems with applications 41 (4), 1400-1410, 2014
182014
A data mining approach to incremental adaptive functional diagnosis
C Bolchini, E Quintarelli, F Salice, P Garza
2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2013
182013
Top-N recommendations on Unpopular Items with Contextual Knowledge
P Cremonesi, P Garza, E Quintarelli, R Turrin
182011
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
172017
The system can't perform the operation now. Try again later.
Articles 1–20