Salvatore Orlando

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Raffaele PeregoResearch Director, ISTI-CNREmail confirmado em isti.cnr.it
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceEmail confirmado em unive.it
Fabrizio SilvestriSapienza, University of RomeEmail confirmado em uniroma1.it
Claudio SilvestriAssistant professor of Computer Science, Università Ca' Foscari Venezia, ItalyEmail confirmado em unive.it
Nicola TonellottoAssociate Professor, University of PisaEmail confirmado em unipi.it
Salvatore TraniResearcher, ISTI-CNR, Pisa, ItalyEmail confirmado em isti.cnr.it
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail confirmado em unipi.it
Matteo MordacchiniIIT-CNREmail confirmado em iit.cnr.it
Diego CeccarelliBloombergEmail confirmado em bloomberg.net
Ranieri BaragliaISTI - CNREmail confirmado em isti.cnr.it
Moreno MarzollaUniversità di BolognaEmail confirmado em unibo.it
Fabrizio FalchiSenior Researcher at ISTI-CNR, PisaEmail confirmado em isti.cnr.it
Roberto TrasartiKDD Lab, ISTI-CNR, PisaEmail confirmado em isti.cnr.it
Francesco BonchiResearch Director at CentaiEmail confirmado em centai.eu
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaEmail confirmado em sns.it
Nikos PelekisAssociate Professor, Dept. of Statistics & Insurance Science, University of Piraeus, GreeceEmail confirmado em unipi.gr
Claudio GennaroISTI-CNR, PisaEmail confirmado em isti.cnr.it
Domenico TaliaProfessor of Computer Engineering, University of CalabriaEmail confirmado em dimes.unical.it
Marios D. DikaiakosProfessor of Computer Science, University of CyprusEmail confirmado em cs.ucy.ac.cy
Gennady Andrienkolead scientist @ Fraunhofer IAIS & Lamarr Institute & professor @ City University LondonEmail confirmado em iais.fraunhofer.de

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Salvatore Orlando

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

Email confirmado em unive.it - Página inicial

Data Mining Information Retrieval Efficient AI


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	326	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	311	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	285	2006
Enhancing the Apriori Algorithm for Frequent Set Counting R Perego, S Orlando, P Palmerini international conference on data warehousing and knowledge discovery, 71-82, 2001	197	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	184	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	154	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	147	1992
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	125	2016
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	120	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	101	2007
DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets. C Lucchese, S Orlando, R Perego Fimi, 2004	100	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	99	2015
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	97	2013
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	91*	2003
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	89	2013
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	84	2004
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	83	2010
Post-learning optimization of tree ensembles for efficient ranking C Lucchese, FM Nardini, S Orlando, R Perego, F Silvestri, S Trani Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	81	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
Quality versus efficiency in document scoring with learning-to-rank models G Capannini, C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto Information Processing & Management 52 (6), 1161-1177, 2016	74	2016

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