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Mirco Nanni
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1997
F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Datalog++: A Basis for Active Object-Oriented Databases
”
, in
DOOD
, 1997, pp. 283-301.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Datalog++: a Basis for Active Object.Oriented Databases
”
, in
SEBD
, 1997, pp. 325-340.
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1998
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
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Query Answering in Nondeterministic, Nonmonotonic Logic Databases
”
, in
FQAS
, 1998, pp. 175-187.
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1999
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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2000
M. Fayzullin
,
Nanni, M.
,
Pedreschi, D.
, and
Subrahmanian, V. S.
,
“
Foundations of distributed interaction systems
”
,
Ann. Math. Artif. Intell.
, vol. 28, pp. 127-168, 2000.
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F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Logic-Based Knowledge Discovery in Databases
”
, in
EJC
, 2000, pp. 279-283.
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2001
F. Bonchi
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
,
Nanni, M.
,
Pedreschi, D.
, and
Ruggieri, S.
,
“
Data Mining for Intelligent Web Caching
”
, in
ITCC
, 2001, pp. 599-603.
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F. Bonchi
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
,
Nanni, M.
,
Pedreschi, D.
, and
Ruggieri, S.
,
“
Data Mining for Intelligent Web Caching
”
, in
ITCC
, 2001, pp. 599-603.
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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. Bonchi
,
Giannotti, F.
,
Gozzi, C.
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Ruggieri, S.
,
“
Web Log Data Warehousing and Mining for Intelligent Web Caching
”
,
Data and Knowledge Engineering
, 2001.
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F. Bonchi
,
Giannotti, F.
,
Gozzi, C.
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Ruggieri, S.
,
“
Web log data warehousing and mining for intelligent web caching
”
,
Data Knowl. Eng.
, vol. 39, pp. 165-189, 2001.
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F. Bonchi
,
Giannotti, F.
,
Gozzi, C.
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Ruggieri, S.
,
“
Web log data warehousing and mining for intelligent web caching
”
,
Data Knowl. Eng.
, vol. 39, pp. 165-189, 2001.
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2003
F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
, and
Samaritani, F.
,
“
WebCat: Automatic Categorization of Web Search Results
”
, in
SEBD
, 2003, pp. 507-518.
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2004
M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Spatio-Temporal Data
”
, in
INAP/WLP
, 2004, pp. 98-115.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Trajectories
”
, in
SEBD
, 2004, pp. 98-105.
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V. Bacarella
,
Giannotti, F.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Discovery of ads web hosts through traffic data analysis
”
, in
DMKD
, 2004, pp. 76-81.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}
”
, 2004.
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2006
F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Efficient Mining of Temporally Annotated Sequences
”
, in
SDM
, 2006.
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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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M. Nanni
and
Pedreschi, D.
,
“
Time-focused clustering of trajectories of moving objects
”
,
J. Intell. Inf. Syst.
, vol. 27, pp. 267-289, 2006.
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2007
F. Giannotti
,
Nanni, M.
,
Pinelli, F.
, and
Pedreschi, D.
,
“
Trajectory pattern mining
”
, in
KDD
, 2007, pp. 330-339.
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2008
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. Berlingerio
,
Giannotti, F.
,
Nanni, M.
, and
Pinelli, F.
,
“
Temporal analysis of process logs: a case study
”
, in
SEBD
, 2008, pp. 430-437.
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S. Rinzivillo
,
Pedreschi, D.
,
Nanni, M.
,
Giannotti, F.
,
Andrienko, N.
, and
Andrienko, G.
,
“
Visually driven analysis of movement data by progressive clustering
”
,
Information Visualization
, vol. 7, pp. 225-239, 2008.
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