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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Pinelli, F.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
Mobility data mining: discovering movement patterns from trajectory data
”
, in
Computational Transportation Science
, 2010, pp. 7-10.
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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.
DOI
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F. Giannotti
,
Matteucci, A.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Evaluation with Structural Recursive Symbolic Constants
”
,
Sci. Comput. Program.
, vol. 9, pp. 161-177, 1987.
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F. Giannotti
,
Jeansoulin, R.
, and
Theodoridis, Y.
,
“
Beyond Current Technology: The Perspective of Three EC GIS Projects
”
, in
DEXA Workshop
, 1999, p. 510.
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F. Giannotti
and
Pedreschi, D.
,
“
Declarative Semantics for Pruning Operators in Logic Programming
”
, in
LPNMR
, 1990, pp. 27-37.
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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.
DOI
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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
,
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.
DOI
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F. Giannotti
,
Manco, G.
,
Pedreschi, D.
, and
Turini, F.
,
“
Experiences with a Logic-Based Knowledge Discovery Support Environment
”
, in
AI*IA
, 1999, pp. 202-213.
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F. Giannotti
and
Hermenegildo, M. V.
,
“
A Technique for Recursive Invariance Detection and Selective Program Specification
”
, in
PLILP
, 1991, pp. 323-334.
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F. Giannotti
,
Manco, G.
,
Pedreschi, D.
, and
Turini, F.
,
“
Experiences with a Logic-based knowledge discovery Support Environment
”
, in
1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
, 1999.
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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
,
Monreale, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Ruggieri, S.
, and
Turini, F.
,
“
Factual and Counterfactual Explanations for Black Box Decision Making
”
,
IEEE Intelligent Systems
, 2019.
DOI
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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
,
Soldani, J.
,
Neri, D.
,
Brogi, A.
, and
Pedreschi, D.
,
“
Helping your docker images to spread based on explainable models
”
, in
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
, 2018.
DOI
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R. Guidotti
,
Monreale, A.
,
Matwin, S.
, and
Pedreschi, D.
,
“
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space
”
, in
Machine Learning and Knowledge Discovery in Databases
, Cham, 2020.
DOI
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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.
DOI
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