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Fosca Giannotti
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M. Coscia
,
Giannotti, F.
, and
Pensa, R. G.
,
“
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
”
, in
ASONAM
, 2009, pp. 279-283.
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M. Coscia
,
Giannotti, F.
, and
Pensa, R. G.
,
“
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
”
, in
ASONAM
, 2009, pp. 279-283.
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F. Giannotti
,
Trasarti, R.
,
Bontcheva, K.
, and
Grossi, V.
,
“
SoBigData: Social Mining & Big Data Ecosystem
”
, in
Companion of the The Web Conference 2018 on The Web Conference 2018
, 2018.
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G. Andrienko
,
Andrienko, N.
,
Boldrini, C.
,
Caldarelli, G.
,
Cintia, P.
,
Cresci, S.
,
Facchini, A.
,
Giannotti, F.
,
Gionis, A.
,
Guidotti, R.
, and
others,
“
(So) Big Data and the transformation of the city
”
,
International Journal of Data Science and Analytics
, 2020.
DOI
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M. Batty
,
Axhausen, K. W.
,
Giannotti, F.
,
Pozdnoukhov, A.
,
Bazzani, A.
,
Wachowicz, M.
,
Ouzounis, G.
, and
Portugali, Y.
,
“
Smart cities of the future
”
,
European Physical Journal-Special Topics
, vol. 214, p. 481, 2012.
DOI
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S. Marchetti
,
Giusti, C.
,
Pratesi, M.
,
Salvati, N.
,
Giannotti, F.
,
Pedreschi, D.
,
Rinzivillo, S.
,
Pappalardo, L.
, and
Gabrielli, L.
,
“
Small Area Model-Based Estimators Using Big Data Sources
”
,
Journal of Official Statistics
, vol. 31, pp. 263–281, 2015.
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L. Pollacci
,
Sirbu, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Lucchese, C.
, and
Muntean, C. Ioana
,
“
Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter
”
, in
Conference of the Italian Association for Artificial Intelligence
, 2017.
DOI
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F. Giannotti
,
Pedreschi, D.
, and
Zaniolo, C.
,
“
Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases
”
,
J. Comput. Syst. Sci.
, vol. 62, pp. 15-42, 2001.
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G. Rossetti
,
Berlingerio, M.
, and
Giannotti, F.
,
“
Scalable Link Prediction on Multidimensional Networks
”
, in
ICDM Workshops
, Vancouver, 2011, pp. 979-986.
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R
A. Basu
,
Monreale, A.
,
Trasarti, R.
,
Corena, J. C.
,
Giannotti, F.
,
Pedreschi, D.
,
Kiyomoto, S.
,
Miyake, Y.
, and
Yanagihara, T.
,
“
A risk model for privacy in trajectory data
”
,
Journal of Trust Management
, vol. 2, p. 9, 2015.
DOI
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L. Pappalardo
,
Simini, F.
,
Rinzivillo, S.
,
Pedreschi, D.
,
Giannotti, F.
, and
Barabasi, A. - L.
,
“
Returners and explorers dichotomy in human mobility
”
,
Nat Commun
, vol. 6, 2015.
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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Retrieving Points of Interest from Human Systematic Movements
”
, in
Software Engineering and Formal Methods
, Springer International Publishing, 2014, pp. 294–308.
DOI
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D. Pennacchioli
,
Coscia, M.
,
Rinzivillo, S.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
The retail market as a complex system
”
,
EPJ Data Science
, vol. 3, pp. 1–27, 2014.
DOI
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P. Cintia
,
Fadda, D.
,
Giannotti, F.
,
Pappalardo, L.
,
Rossetti, G.
,
Pedreschi, D.
,
Rinzivillo, S.
,
Bonato, P.
,
Fabbri, F.
,
Penone, F.
,
Savarese, M.
,
Checchi, D.
,
Chiaromonte, F.
,
Vineis, P.
,
Guzzetta, G.
,
Riccardo, F.
,
Marziano, V.
,
Poletti, P.
,
Trentini, F.
,
Bella, A.
,
Andrianou, X.
,
Del Manso, M.
,
Fabiani, M.
,
Bellino, S.
,
Boros, S.
,
Urdiales, A. Mateo
,
Vescio, M. Fenicia
,
Brusaferro, S.
,
Rezza, G.
,
Pezzotti, P.
,
Ajelli, M.
, and
Merler, S.
,
“
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
”
,
arXiv preprint arXiv:2006.03141
, 2020.
Google Scholar
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F. Bonchi
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A Relational Query Primitive for Constraint-Based Pattern Mining
”
, in
Constraint-Based Mining and Inductive Databases
, 2004, pp. 14-37.
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C. Bertazzoni
and
Giannotti, F.
,
“
RASP: A Resource Allocator for Software Projects
”
, in
IEA/AIE (Vol. 2)
, 1990, pp. 628-637.
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M. E. Carboni
,
Deo, A. D.
,
Giannotti, F.
, and
Masserotti, M. V.
,
“
Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche
”
, in
SEBD
, 1996, pp. 73-90.
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Q
F. Giannotti
and
Manco, G.
,
“
Querying inductive Databases via Logic-Based user-defined aggregates
”
, in
APPIA-GULP-PRODE
, 1999, pp. 605-620.
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F. Giannotti
and
Manco, G.
,
“
Querying Inductive Databases via Logic-Based User-Defined Aggregates
”
, in
PKDD
, 1999, pp. 125-135.
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G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 335-374.
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G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatio-Temporal Data Mining
”
, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
Google Scholar
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R. Trasarti
,
Giannotti, F.
,
Nanni, M.
,
Pedreschi, D.
, and
Renso, C.
,
“
A Query Language for Mobility Data Mining
”
,
IJDWM
, vol. 7, pp. 24-45, 2011.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Query Answering in Nondeterministic, Nonmonotonic Logic Databases
”
, in
FQAS
, 1998, pp. 175-187.
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L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Giannotti, F.
,
Pedreschi, D.
, and
Sebastiani, F.
,
“
Quantification Trees
”
, in
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013
, 2013, pp. 528–536.
DOI
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L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Pedreschi, D.
,
Giannotti, F.
, and
Sebastiani, F.
,
“
Quantification in Social Networks
”
, in
International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015)
, Paris, France, 2015.
DOI
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