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G
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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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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F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Towards a Logic Query Language for Data Mining
”
, in
Database Support for Data Mining Applications
, 2004, pp. 76-94.
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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
and
Pedreschi, D.
,
“
Datalog with Non-Deterministic Choice Computers NDB-PTIME
”
,
J. Log. Program.
, vol. 35, pp. 79-101, 1998.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Pinelli, F.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
Unveiling the complexity of human mobility by querying and mining massive trajectory data
”
,
VLDB J.
, vol. 20, pp. 695-719, 2011.
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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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F. Giannotti
and
Latella, D.
,
“
Using Abstract Interpretation for Gate splitting in LOTOS Specifications
”
, in
WSA
, 1992, pp. 194-204.
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F. Giannotti
,
Pedreschi, D.
,
Saccà, D.
, and
Zaniolo, C.
,
“
Non-Determinism in Deductive Databases
”
, in
DOOD
, 1991, pp. 129-146.
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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
and
Pedreschi, D.
,
“
Declarative Semantics for Pruning Operators in Logic Programming
”
, in
LPNMR
, 1990, pp. 27-37.
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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
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
GeoPKDD – Geographic Privacy-aware Knowledge Discovery
”
, in
The European Future Technologies Conference (FET 2009)
, 2009.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
, and
Pinelli, F.
,
“
Trajectory pattern analysis for urban traffic
”
, in
Second International Workshop on Computational Transportation Science
, SEATTLE, USA, 2009, pp. 43-47.
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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
,
Manco, G.
, and
Wijsen, J.
,
“
Logical Languages for Data Mining
”
, in
Logics for Emerging Applications of Databases
, 2003, pp. 325-361.
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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
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Complex Reasoning on Geographical Data
”
, in
SEBD
, 2001, pp. 331-338.
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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
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases
”
, in
CSL
, 1998, pp. 58-72.
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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
,
Mazzoni, A.
,
Puntoni, S.
, and
Renso, C.
,
“
Synthetic generation of cellular network positioning data
”
, in
GIS
, 2005, pp. 12-20.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Integration of Deduction and Induction for Mining Supermarket Sales Data
”
, in
SEBD
, 1999, pp. 117-131.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Trasarti, R.
,
“
Mining Mobility Behavior from Trajectory Data
”
, in
CSE (4)
, 2009, pp. 948-951.
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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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