PIC

Claudio Lucchese


Contact info

E-mail :claudio.lucchese#unive.it
Address :Dipartimento di Scienze Ambientali, Informatica e Statistica
UniversitÓ Ca’ Foscari di Venezia
Campus Scientifico, Edificio Zeta, Studio Z.B10
Via Torino, 155
30170 Venezia Mestre (VE)
ITALY
Phone : +39 041 234 8424

Short Bio

Dr. Claudio Lucchese is associate Professor with the UniversitÓ Ca’ Foscari di Venezia. Until 2017 he was a researcher with the I.S.T.I. “A. Faedo”C.N.R. working with the High Performance Computing Lab. His main research activities are in the areas of data mining techniques for information retrieval and large-scale data processing. He has published more than 100 papers on these topics in peer reviewed international journals, conferences and other venues. He has taught courses on data mining and parallel computing at the Computer Science course of the UniversitÓ Ca’ Foscari di Venezia, UniversitÓ di Firenze and at the Ph.D. courses of the UniversitÓ di Pisa and I.M.T. Institute for Advanced Studies Lucca. He participated to and coordinated activities in European (Sapir, Assets, InGeoClouds, SoBigData) and Italian national projects.

Bibliometric Indices

Google ScholarScopus
citations 2084 936
h-index 23 17
i10-index 42 26
no. journals 17 16

Awards

Selected Publications

Education

Professional Experience

Teaching

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Participations to national and international projects

References

[1]   Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubsky, and Pavel Zezula. Building a web-scale image similarity search system. Multimedia Tools and Applications, 47(3):599–629, 2010.

[2]   Mario Boley, Claudio Lucchese, Daniel Paurat, and Thomas Gńrtner. Direct local pattern sampling by efficient two-step random procedures. In KDD ’11: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 582–590, August 21-24 2011.

[3]   Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, and Roberto Trasarti. A constraint-based querying system for exploratory pattern discovery. Information Systems, 34(1):3–27, 2009.

[4]   Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, and Salvatore Trani. SEL: a unified algorithm for entity linking and saliency detection. In DocEng ’16: Proceedings of the 2015 ACM Symposium on Document Engineering, 2016.

[5]   Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, and Rossano Venturini. Fast ranking with additive ensembles of oblivious and non-oblivious regression trees. ACM Transactions on Information Systems, 35(2):15:1–15:31, 2016.

[6]   Nikolaos M. Freris, Claudio Lucchese, Michalis Vlachos, and Spyridon Zoumpoulis. Right-protected data publishing with provable distance-based mining. IEEE Transactions On Knowledge and Data Engineering, 26(8):2014–2028, 2014.

[7]   Claudio Lucchese, Carlo Mastroianni, Salvatore Orlando, and Domenico Talia. Mining@home: Towards a public resource computing framework for distributed data mining. Concurrency and Computation: Practice and Experience, 22(5):658–682, 2010.

[8]   Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, and Rossano Venturini. Quickscorer: a fast algorithm to rank documents with additive ensembles of regression trees. In SIGIR ’15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015. (best paper) (ACM Notable Article).

[9]   Claudio Lucchese, Salvatore Orlando, and Raffaele Perego. Fast and memory efficient mining of frequent closed itemsets. IEEE Transactions On Knowledge and Data Engineering, 18(1):21–36, 2006.

[10]   Claudio Lucchese, Salvatore Orlando, and Raffaele Perego. A unifying framework for mining approximate top-k binary patterns. IEEE Transactions On Knowledge and Data Engineering, 26(12):2900–2913, 2014.

[11]   Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, and Gabriele Tolomei. Discovering tasks from search engine query logs. ACM Trans. Inf. Syst., 31(3):14, 2013. (ACM Notable Article).

[12]   Claudio Lucchese, Deepak Rayan, Michalis Vlachos, and Philip S. Yu. Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB Journal, 19(4):531–556, 2010.

[13]   Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, and Laura Ricci. Fast connected components computation in large graphs by vertex pruning. IEEE Transactions on Parallel and Distributed Systems, PP(99), 2016.

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