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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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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Nondeterministic, Nonmonotonic Logic Databases
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 13, pp. 813-823, 2001.
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F. Giannotti
,
Gabrielli, L.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Understanding human mobility with big data
”
, in
Solving Large Scale Learning Tasks. Challenges and Algorithms
, Springer International Publishing, 2016, pp. 208–220.
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F. Giannotti
,
Lakshmanan, L. V. S.
,
Monreale, A.
,
Pedreschi, D.
, and
Wang, H. Wendy
,
“
Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases
”
,
IEEE Systems Journal
, 2013.
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F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Efficient Mining of Temporally Annotated Sequences
”
, in
SDM
, 2006.
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F. Giannotti
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Complex Reasoning on Geographical Data
”
, in
SEBD
, 2001, pp. 331-338.
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F. Giannotti
and
Latella, D.
,
“
Gate Splitting in LOTOS Specifications Using Abstract Interpretation
”
,
Sci. Comput. Program.
, vol. 23, pp. 127-149, 1994.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
, and
Pinelli, F.
,
“
Mining sequences with temporal annotations
”
, in
SAC
, 2006, pp. 593-597.
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F. Giannotti
,
Gozzi, C.
, and
Manco, G.
,
“
Clustering Transactional Data
”
, in
SEBD
, 2001, pp. 163-176.
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F. Giannotti
,
Lakshmanan, L. V. S.
,
Monreale, A.
,
Pedreschi, D.
, and
Wang, H. Wendy
,
“
Privacy-preserving data mining from outsourced databases.
”
, in
the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice
, 2011.
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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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P. Gravino
,
Sirbu, A.
,
Becker, M.
,
Servedio, V. D. P.
, and
Loreto, V.
,
“
Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 337–362.
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P. Gravino
,
Caminiti, S.
,
Sirbu, A.
,
Tria, F.
,
Servedio, V. D. P.
, and
Loreto, V.
,
“
Unveiling Political Opinion Structures with a Web-experiment
”
, in
Proceedings of the 1st International Conference on Complex Information Systems
, 2016.
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V. Grossi
,
Guns, T.
,
Monreale, A.
,
Nanni, M.
, and
Nijssen, S.
,
“
Partition-Based Clustering Using Constraint Optimization
”
, in
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach
, Springer International Publishing, 2016, pp. 282–299.
DOI
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V. Grossi
,
Monreale, A.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Clustering Formulation Using Constraint Optimization
”
, in
Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers
, 2015.
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V. Grossi
,
Romei, A.
, and
Ruggieri, S.
,
“
A Case Study in Sequential Pattern Mining for IT-Operational Risk
”
, in
ECML/PKDD (1)
, 2008, pp. 424-439.
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V. Grossi
,
Pedreschi, D.
, and
Turini, F.
,
“
Data Mining and Constraints: An Overview
”
, in
Data Mining and Constraint Programming
, Springer International Publishing, 2016, pp. 25–48.
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V. Grossi
,
Romei, A.
, and
Turini, F.
,
“
Survey on using constraints in data mining
”
,
Data Mining and Knowledge Discovery
, vol. 31, pp. 424–464, 2017.
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Towards the dynamic community discovery in decentralized online social networks
”
,
Journal of Grid Computing
, vol. 17, pp. 23–44, 2019.
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Dynamic community analysis in decentralized online social networks
”
, in
European Conference on Parallel Processing
, 2017.
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R. Guidotti
,
Rossetti, G.
,
Pappalardo, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences
”
, in
2017 IEEE International Conference on Data Mining (ICDM)
, 2017.
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R. Guidotti
,
Coscia, M.
,
Pedreschi, D.
, and
Pennacchioli, D.
,
“
Going Beyond GDP to Nowcast Well-Being Using Retail Market Data
”
, in
Advances in Network Science
, Springer International Publishing, 2016, pp. 29–42.
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R. Guidotti
and
Berlingerio, M.
,
“
Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services
”
, in
Complex Networks VII
, Springer International Publishing, 2016, pp. 65–78.
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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Unveiling mobility complexity through complex network analysis
”
,
Social Network Analysis and Mining
, vol. 6, p. 59, 2016.
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R. Guidotti
,
Trasarti, R.
,
Nanni, M.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas
”
, in
4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017)
, Tokyo, 2017.
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