-
1
-
-
0041783510
-
Privacy-preserving data mining
-
ACM
-
R Agrawal and R Srikant. Privacy-preserving data mining. In ACM Sigmod Record, volume 29, pages 439-450. ACM, 2000
-
(2000)
ACM Sigmod Record
, vol.29
, pp. 439-450
-
-
Agrawal, R.1
Srikant, R.2
-
3
-
-
0035478854
-
Random forests
-
L Breiman. Random forests. Machine learning, 45(1):5-32, 2001
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
10
-
-
33745556605
-
Calibrating noise to sensitivity in private data analysis
-
Springer
-
C Dwork, F McSherry, K Nissim, and A Smith. Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography, pages 265-284. Springer, 2006
-
(2006)
Theory of Cryptography
, pp. 265-284
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
14
-
-
84897484693
-
Machine-learning prediction of cancer survival: A retrospective study using electronic administrative records and a cancer registry
-
S Gupta et al. Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry. BMJ open, 4(3), 2014
-
(2014)
BMJ Open
, vol.4
, Issue.3
-
-
Gupta, S.1
-
15
-
-
77951189908
-
A practical differentially private random decision tree classifier
-
IEEE
-
G Jagannathan, K Pillaipakkamnatt, and R N Wright. A practical differentially private random decision tree classifier. In Data Mining Workshops, 2009. ICDMW'09., pages 114-121. IEEE, 2009
-
(2009)
Data Mining Workshops, 2009. ICDMW'09
, pp. 114-121
-
-
Jagannathan, G.1
Pillaipakkamnatt, K.2
Wright, R.N.3
-
17
-
-
78650760529
-
Privacy preserving decision tree mining from perturbed data
-
IEEE
-
L Liu, M Kantarcioglu, and B Thuraisingham. Privacy preserving decision tree mining from perturbed data. In System Sciences, 2009. 42nd Hawaii International Conference on, pages 1-10. IEEE, 2009
-
(2009)
System Sciences, 2009. 42nd Hawaii International Conference on
, pp. 1-10
-
-
Liu, L.1
Kantarcioglu, M.2
Thuraisingham, B.3
-
18
-
-
52649169678
-
Privacy: Theory meets practice on the map
-
IEEE
-
A Machanavajjhala, D Kifer, J Abowd, J Gehrke, and L Vilhuber. Privacy: Theory meets practice on the map. In Data Engineering, 2008. IEEE 24th International Conference on, pages 277-286. IEEE, 2008
-
(2008)
Data Engineering, 2008. IEEE 24th International Conference on
, pp. 277-286
-
-
Machanavajjhala, A.1
Kifer, D.2
Abowd, J.3
Gehrke, J.4
Vilhuber, L.5
-
20
-
-
34249966833
-
An empirical comparison of selection measures for decisiontree induction
-
J Mingers. An empirical comparison of selection measures for decisiontree induction. Machine learning, 3(4):319-342, 1989
-
(1989)
Machine Learning
, vol.3
, Issue.4
, pp. 319-342
-
-
Mingers, J.1
-
22
-
-
33744584654
-
Induction of decision trees
-
J R Quinlan. Induction of decision trees. Machine learning, 1(1):81-106, 1986
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
24
-
-
84924049094
-
A framework for feature extraction from hospital medical data with applications in risk prediction
-
T Tran et al. A framework for feature extraction from hospital medical data with applications in risk prediction. BMC bioinformatics, 15(1):6596, 2014
-
(2014)
BMC Bioinformatics
, vol.15
, Issue.1
, pp. 6596
-
-
Tran, T.1
-
25
-
-
0021622802
-
The statistical security of a statistical database
-
J F Traub, Y Yemini, and H Woźniakowski. The statistical security of a statistical database. ACM Transactions on Database Systems (TODS), 9(4):672-679, 1984
-
(1984)
ACM Transactions on Database Systems (TODS)
, vol.9
, Issue.4
, pp. 672-679
-
-
Traub, J.F.1
Yemini, Y.2
Woźniakowski, H.3
-
26
-
-
84900435600
-
Minimaxity, statistical thinking and differential privacy
-
L Wasserman. Minimaxity, statistical thinking and differential privacy. Journal of Privacy and Confidentiality, 4(1):3, 2012
-
(2012)
Journal of Privacy and Confidentiality
, vol.4
, Issue.1
, pp. 3
-
-
Wasserman, L.1
|