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Francesco Bonchi
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A
F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Adaptive Constraint Pushing in Frequent Pattern Mining
”
, in
PKDD
, 2003, pp. 47-58.
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M. Atzori
,
Bonchi, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Anonymity and data mining
”
,
Comput. Syst. Sci. Eng.
, vol. 20, 2005.
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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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B
M. Atzori
,
Bonchi, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Blocking Anonymity Threats Raised by Frequent Itemset Mining
”
, in
ICDM
, 2005, pp. 561-564.
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C
F. Bonchi
,
Giannotti, F.
,
Mainetto, G.
, and
Pedreschi, D.
,
“
A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection
”
, in
KDD
, 1999, pp. 175-184.
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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. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
A constraint-based querying system for exploratory pattern discovery
”
,
Inf. Syst.
, vol. 34, pp. 3-27, 2009.
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F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
A constraint-based querying system for exploratory pattern discovery
”
,
Inf. Syst.
, vol. 34, pp. 3-27, 2009.
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D
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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E
F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Efficient breadth-first mining of frequent pattern with monotone constraints
”
,
Knowl. Inf. Syst.
, vol. 8, pp. 131-153, 2005.
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint
”
, in
ICDM
, 2003, pp. 11-18.
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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. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining
”
, in
PKDD
, 2003, pp. 59-70.
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F
F. Bonchi
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Frequent Pattern Queries for Flexible Knowledge Discovery
”
, in
SEBD
, 2004, pp. 250-261.
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H
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
SEBD
, 2007, pp. 233-241.
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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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I
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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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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M
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. Berlingerio
,
Bonchi, F.
,
Curcio, M.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation
”
, in
Biomedical Data and Applications
, 2009, pp. 211-236.
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M. Berlingerio
,
Bonchi, F.
,
Bringmann, B.
, and
Gionis, A.
,
“
Mining Graph Evolution Rules
”
, in
ECML/PKDD 2009
, Bled, Slovenia, 2009, pp. 115-130.
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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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N
R. Trasarti
,
Bonchi, F.
, and
Goethals, B.
,
“
A new technique for sequential pattern mining under regular expressions
”
, in
SEBD
, 2009, pp. 325-332.
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