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R. Guidotti
and
Ruggieri, S.
,
“
On The Stability of Interpretable Models
”
, in
2019 International Joint Conference on Neural Networks (IJCNN)
, 2019.
DOI
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F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Specifying Mining Algorithms with Iterative User-Defined Aggregates
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 16, pp. 1232-1246, 2004.
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F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study
”
, in
PKDD
, 2001, pp. 128-139.
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M. Fiore
,
Shafiq, Z.
,
Smoreda, Z.
,
Stanica, R.
, and
Trasarti, R.
,
“
Special Issue on Mobile Traffic Analytics
”
,
Computer Communications
, vol. 95, pp. 1–2, 2016.
DOI
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M. E. Carboni
,
Deo, A. D.
,
Giannotti, F.
, and
Masserotti, M. V.
,
“
Spatio-Temporal Reasoning with LDLT: First Steps Towards a Deductive System for Geographical Applications
”
, in
DDLP
, 1996, pp. 135-151.
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M. Nanni
,
Kuijpers, B.
,
Körner, C.
,
May, M.
, and
Pedreschi, D.
,
“
Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 267-296.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Spatio-Temporal Data
”
,
Spatio-Temporal Databases: Flexible Querying and Reasoning
, p. 75, 2013.
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S. Kisilevich
,
Mansmann, F.
,
Nanni, M.
, and
Rinzivillo, S.
,
“
Spatio-temporal clustering
”
, in
Data Mining and Knowledge Discovery Handbook
, 2010, pp. 855-874.
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V. Cozza
,
Messina, A.
,
Montesi, D.
,
Arietta, L.
, and
Magnani, M.
,
“
Spatio temporal keyword-queries in Social Networs
”
, 2013.
Google Scholar
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M. Wachowicz
and
Renso, C.
,
“
Spatio and Spatio-temporal Reasoning and Decision Support Tools
”
, in
Entry at Encyclopedia of Social Network Analysis and Mining
, Springer., 2013.
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M. Coscia
,
Rinzivillo, S.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Spatial and Temporal Evaluation of Network-based Analysis of Human Mobility
”
,
Social Network Analysis and Mining
, vol. to appear, 2013.
Google Scholar
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M. Setzu
and
Atzori, M.
,
“
SPARQL Queries over Source Code
”
, in
2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
, 2016.
Google Scholar
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R. Guidotti
,
Sassi, A.
,
Berlingerio, M.
,
Pascale, A.
, and
Ghaddar, B.
,
“
Social or green? A data-driven approach for more enjoyable carpooling
”
, in
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
, 2015.
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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.
Google Scholar
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R. Trasarti
,
Grossi, V.
,
Natilli, M.
, and
Rapisarda, B.
,
“
SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics.
”
,
30th Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati)
. Tirrenia, Pisa, 2022.
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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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C. Parent
,
Spaccapietra, S.
,
Renso, C.
,
Andrienko, G.
,
Andrienko, N.
,
Bogorny, V.
,
Damiani M L,
,
Gkoulalas-Divanis A,
,
de Macêdo, J. A. F.
, and
Pelekis, N.
,
“
Semantic Trajectories Modeling and Analysis
”
,
ACM Computing Surveys
, vol. 45, 2013.
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L. Corbucci
,
Monreale, A.
,
Panigutti, C.
,
Natilli, M.
,
Smiraglio, S.
, and
Pedreschi, D.
,
“
Semantic Enrichment of XAI Explanations for Healthcare
”
,
24th International Conference on Artificial Intelligence
. 2022.
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A. Baroni
and
Ruggieri, S.
,
“
Segregation discovery in a social network of companies
”
,
Journal of Intelligent Information Systems
, 2017.
DOI
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