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个人简介
Mirco Nanni holds a Laurea degree and a PhD in Computer Science (both from the University of Pisa, resp. in 1997 and 2002). From April to June 1999 he was a visiting fellow in College Park -- University of Maryland, working on probabilistic agent programming, and in May 2008 he was a visiting researcher at the SENSEable City Lab @ MIT, Boston. Since 2006 he is a researcher (permanent since 2010) at KDD Lab, ISTI-CNR. His current main research interest is data mining and knowledge discovery, especially clustering and sequential patterns on temporal and spatio-temporal data. He regualrly serves as PC and/or referee for various international conferences and journals on data mining, databases, logic programming and artificial intelligence.
Most recent projects he was involved in include: GeoPKDD on privacy-preserving knowledge discovery (EU FP6, terminated in 2009), Mercato della Mobilità on urban mobility analysis (Regione Toscana, ongoing) and IperMob on sensor based monitoring and analysis of local mobility (Regione Toscana, ongoing).
He served for several years as teacher and/or collaborator in courses on data mining and databases for graduate and undergraduate students.
研究兴趣
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FLUCTUATION AND NOISE LETTERS (2023)
31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023 (2023): 490-499
2023 IEEE International Conference on Big Data (BigData)pp.4382-4391, (2023)
arxiv(2021)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2020, PT V (2021): 369-385
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