Salvatore Orlando

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

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Salvatore Orlando

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

Email verificata su unive.it - Home page

Data Mining Information Retrieval Efficient AI


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	313	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	310	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	283	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	196	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	186	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	149	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	119	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	119	2013
DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets. C Lucchese, S Orlando, R Perego Fimi, 2004	104	2004
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	100	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	100	2007
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	95	2015
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	90*	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	86	2013
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
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	80	2004
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	79	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	75	2016

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