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Fosca Giannotti
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2005
F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Exante: A Preprocessing Method for Frequent-Pattern Mining
”
,
IEEE Intelligent Systems
, vol. 20, pp. 25-31, 2005.
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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
,
Mazzoni, A.
,
Puntoni, S.
, and
Renso, C.
,
“
Synthetic generation of cellular network positioning data
”
, in
GIS
, 2005, pp. 12-20.
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2006
F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery
”
, in
ICDE
, 2006, p. 159.
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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. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
On Interactive Pattern Mining from Relational Databases
”
, in
KDID
, 2006, pp. 42-62.
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C. Lucchese
,
Bonchi, F.
,
Giannotti, F.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
On Interactive Pattern Mining from Relational Databases
”
, in
SEBD
, 2006, pp. 329-338.
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M. Berlingerio
,
Bonchi, F.
,
Chelazzi, S.
,
Curcio, M.
,
Giannotti, F.
, and
Scatena, F.
,
“
Mining HLA Patterns Explaining Liver Diseases
”
, in
CBMS
, 2006, pp. 702-707.
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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. Atzori
,
Bonchi, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Towards low-perturbation anonymity preserving pattern discovery
”
, in
SAC
, 2006, pp. 588-592.
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2007
O. Abul
,
Atzori, M.
,
Bonchi, F.
, and
Giannotti, F.
,
“
Hiding Sensitive Trajectory Patterns
”
, in
ICDM Workshops
, 2007, pp. 693-698.
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O. Abul
,
Atzori, M.
,
Bonchi, F.
, and
Giannotti, F.
,
“
Hiding Sequences
”
, in
ICDE Workshops
, 2007, pp. 147-156.
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O. Abul
,
Atzori, M.
,
Bonchi, F.
, and
Giannotti, F.
,
“
Hiding Sequences
”
, in
SEBD
, 2007, pp. 233-241.
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical Data with a Temporal Dimension: A Case Study
”
, in
BIBM
, 2007, pp. 429-436.
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M. Atzori
,
Bonchi, F.
,
Giannotti, F.
,
Pedreschi, D.
, and
Abul, O.
,
“
Privacy-Aware Knowledge Discovery from Location Data
”
, in
MDM
, 2007, pp. 283-287.
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Time-Annotated Sequences for Medical Data Mining
”
, in
ICDM Workshops
, 2007, pp. 133-138.
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M. Berlingerio
,
Bonchi, F.
, and
Giannotti, F.
,
“
Towards Constraint-Based Subgraph Mining
”
, in
SEBD
, 2007, pp. 274-281.
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F. Giannotti
,
Nanni, M.
,
Pinelli, F.
, and
Pedreschi, D.
,
“
Trajectory pattern mining
”
, in
KDD
, 2007, pp. 330-339.
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2008
M. Atzori
,
Bonchi, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Anonymity preserving pattern discovery
”
,
VLDB J.
, vol. 17, pp. 703-727, 2008.
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T. Ceccarelli
,
Centeno, D.
,
Giannotti, F.
,
Massolo, A.
,
Parent, C.
,
Raffaetà, A.
,
Renso, C.
,
Spaccapietra, S.
, and
Turini, F.
,
“
An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology
”
, 2008.
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A. Raffaetà
,
Ceccarelli, T.
,
Centeno, D.
,
Giannotti, F.
,
Massolo, A.
,
Parent, C.
,
Renso, C.
,
Spaccapietra, S.
, and
Turini, F.
,
“
An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology
”
,
GeoInformatica
, vol. 12, pp. 37-72, 2008.
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A. Zanda
,
Körner, C.
,
Giannotti, F.
,
Schulz, D.
, and
May, M.
,
“
Clustering of German municipalities based on mobility characteristics: an overview of results
”
, in
GIS
, 2008, p. 69.
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R. Ortale
,
Ritacco, E.
,
Pelekisy, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
DAEDALUS: A knowledge discovery analysis framework for movement data
”
, in
SEBD
, 2008, pp. 191-198.
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R. Ortale
,
Ritacco, E.
,
Pelekis, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
The DAEDALUS framework: progressive querying and mining of movement data
”
, in
GIS
, 2008, p. 52.
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F. Pinelli
,
Monreale, A.
,
Trasarti, R.
, and
Giannotti, F.
,
“
Location prediction within the mobility data analysis environment Daedalus
”
,
First International Workshop on Computational Transportation Science
. Dublin, Ireland, 2008.
DOI
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