Salvatore Orlando

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Raffaele PeregoResearch Director, ISTI-CNRVerified email at isti.cnr.it
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceVerified email at unive.it
Fabrizio SilvestriSapienza, University of RomeVerified email at uniroma1.it
Claudio SilvestriAssistant professor of Computer Science, Università Ca' Foscari Venezia, ItalyVerified email at unive.it
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaVerified email at unipi.it
Nicola TonellottoAssociate Professor, University of PisaVerified email at unipi.it
Salvatore TraniResearcher, ISTI-CNRVerified email at isti.cnr.it
Diego CeccarelliBloombergVerified email at bloomberg.net
Matteo MordacchiniIIT-CNRVerified email at iit.cnr.it
Ranieri BaragliaISTI - CNRVerified email at isti.cnr.it
Moreno MarzollaUniversità di BolognaVerified email at unibo.it
Fabrizio FalchiSenior Researcher at ISTI-CNR, PisaVerified email at isti.cnr.it
Nikos PelekisAssociate Professor, Dept. of Statistics & Insurance Science, University of Piraeus, GreeceVerified email at unipi.gr
Claudio GennaroISTI-CNR, PisaVerified email at isti.cnr.it
Roberto TrasartiKDD Lab, ISTI-CNR, PisaVerified email at isti.cnr.it
Francesco BonchiResearch Director at CentaiVerified email at centai.eu
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaVerified email at sns.it
Marios D. DikaiakosProfessor of Computer Science, University of CyprusVerified email at cs.ucy.ac.cy
Gennady Andrienkolead scientist @ Fraunhofer IAIS & professor @ City University LondonVerified email at iais.fraunhofer.de
Natalia AndrienkoFraunhofer IAIS (lead scientist) & City University London (professor)Verified email at iais.fraunhofer.de

Salvatore Orlando

Professor of Computer Science, Università Ca' Foscari Venezia, Italy

Verified email at unive.it - Homepage

Data Mining Information Retrieval Efficient AI


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Fast and memory efficient mining of frequent closed itemsets C Lucchese, S Orlando, R Perego IEEE Transactions on Knowledge and Data Engineering 18 (1), 21-36, 2005	306	2005
P³ L: A structured high‐level parallel language, and its structured support B Bacci, M Danelutto, S Orlando, S Pelagatti, M Vanneschi Concurrency: practice and experience 7 (3), 225-255, 1995	299	1995
Boosting the performance of web search engines: Caching and prefetching query results by exploiting historical usage data T Fagni, R Perego, F Silvestri, S Orlando ACM Transactions on Information Systems (TOIS) 24 (1), 51-78, 2006	279	2006
Enhancing the Apriori Algorithm for Frequent Set Counting R Perego, S Orlando, P Palmerini Data Warehousing and Knowledge Discovery: Third International Conference …, 2001	185	2001
Identifying task-based sessions in search engine query logs C Lucchese, S Orlando, R Perego, F Silvestri, G Tolomei Proceedings of the fourth ACM international conference on Web search and …, 2011	176	2011
Adaptive and resource-aware mining of frequent sets S Orlando, P Palmerini, R Perego, F Silvestri 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 338-345, 2002	152	2002
A methodology for the development and the support of massively parallel programs M Danelutto, R Di Meglio, S Orlando, S Pelagatti, M Vanneschi Future Generation Computer Systems 8 (1-3), 205-220, 1992	143	1992
Learning relatedness measures for entity linking D Ceccarelli, C Lucchese, S Orlando, R Perego, S Trani Proceedings of the 22nd ACM international conference on Information …, 2013	116	2013
Trajectory data warehouses: design and implementation issues S Orlando, R Orsini, A Raffaetà, A Roncato, C Silvestri Journal of computing science and engineering 1 (2), 211-232, 2007	102	2007
Dexter: an open source framework for entity linking D Ceccarelli, C Lucchese, S Orlando, R Perego, S Trani Proceedings of the sixth international workshop on Exploiting semantic …, 2013	96	2013
DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets. C Lucchese, S Orlando, R Perego Fimi, 2004	89	2004
kDCI: a multi-strategy algorithm for mining frequent sets S Orlando, C Lucchese, P Palmerini, R Perego, F Silvestri IEEE ICDM’03 Workshop FIMI’03, 2003	89*	2003
Fast ranking with additive ensembles of oblivious and non-oblivious regression trees D Dato, C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto, ... ACM Transactions on Information Systems (TOIS) 35 (2), 1-31, 2016	84	2016
Peer-to-peer systems for discovering resources in a dynamic grid M Marzolla, M Mordacchini, S Orlando Parallel computing 33 (4-5), 339-358, 2007	79	2007
A new algorithm for gap constrained sequence mining S Orlando, R Perego, C Silvestri Proceedings of the 2004 ACM symposium on Applied computing, 540-547, 2004	78	2004
Quickscorer: A fast algorithm to rank documents with additive ensembles of regression trees C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto, R Venturini Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015	76	2015
Mining top-k patterns from binary datasets in presence of noise C Lucchese, S Orlando, R Perego Proceedings of the 2010 SIAM International Conference on Data Mining, 165-176, 2010	76	2010
A Unifying Framework for Mining Approximate Top-Binary Patterns C Lucchese, S Orlando, R Perego IEEE Transactions on Knowledge and Data Engineering 26 (12), 2900-2913, 2013	75	2013
A general framework for trajectory data warehousing and visual OLAP L Leonardi, S Orlando, A Raffaetà, A Roncato, C Silvestri, G Andrienko, ... GeoInformatica 18, 273-312, 2014	73	2014
Assigning identifiers to documents to enhance the clustering property of fulltext indexes F Silvestri, S Orlando, R Perego Proceedings of the 27th Annual International ACM SIGIR Conference on …, 2004	71	2004

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