Bibliography for Privacy-preserving data mining

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VBNPST04

1 Verykios, V.S., Bertino, E., Nai Fovino, I., Parasiliti, L., Saygin, Y., Theodoridis, Y. State-ofthe-art in privacy preserving data mining. SIGMOD Record 33(1), 50–57 (2004) - URL: https://www.cerias.purdue.edu/assets/pdf/bibtex_archive/2004-63.pdf (date of the application: 14.11.2015).

AS00

2 Agrawal, R., Srikant, R. Privacy preserving data mining. In: Proceeedings of the ACM SIGMOD Conference of Management of Data, pp. 439–450. ACM (2000) - URL: http://www.utdallas.edu/~muratk/courses/privacy08f_files/agrawal00privacypreserving.pdf (date of the application: 14.11.2015).

AA01

3 Agrawal, D., Aggarwal, C.C. On the design and quantification of privacy preserving data mining algorithms. In: Proceedings of the 20th ACM SIGACT-SIGMOD-SIGART Symposium on Principle of Database System, pp. 247–255. ACM (2001) - URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.450.2198&rep=rep1&type=pdf (date of the application: 14.11.2015).

BFP05

4 Bertino, E., Fovino, I.N., Provenza, L.P. A framework for evaluating privacy preserving data mining algorithms. Data Mining and Knowledge Discovery 11(2), 121–154 (2005) - URL: http://link.springer.com/article/10.1007/s10618-005-0006-6 (date of the application: 14.11.2015).

T03

5 Trottini, M. Decision models for data disclosure limitation. Ph.D. thesis, Carnegie Mellon University (2003) - URL: http://www.niss.org/dgii/TR/ThesisTrottini -final.pdf (date of the application: 14.11.2015).

KDWS03

6 Kargupta, H., Datta, S.,Wang, Q., Sivakumar, K. On the privacy preserving properties of random data perturbation techniques. In: Proceedings of the Third IEEE International Conference on Data Mining (ICDM’03). Melbourne, Florida (2003) (date of the application: 14.11.2015).

LKR06

7 Liu, K., Kargupta, H., Ryan, J. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining 18(1), 92–106 (2006) - URL: http://www.csee.umbc.edu/~hillol/PUBS/mult_noise_privacyDM.pdf (date of the application: 14.11.2015).

OZ03

8 Oliveira, S.R.M., Zaiane, O.R. Privacy preserving clustering by data transformation. In: 18th Brazilian Symposium on Databases (SBBD 2003), pp. 304–318 (2003) - URL: http://ainfo.cnptia.embrapa.br/digital/bitstream/item/23217/1/33-81-2-PB.pdf (date of the application: 14.11.2015).

S01

9 Samarati, P. Protecting respondents’ identities in microdata release. IEEE Transactions on Knowledge and Data Engineering (TKDE) 13(6), 1010–1027 (2001). - URL: HTTP://doi.ieeecomputersociety.org/10.1109/69.971193 (date of the application: 14.11.2015).

KC02

10 Kantarcioglu, M., Clifton, C. Privacy preserving distributed mining of association rules on horizontally partitioned data. In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 24–31 (2002) - URL: https://www.cs.purdue.edu/homes/clifton/document/Kantarcioglu.pdf (date of the application: 14.11.2015).

VC02

11 Vaidya, J., Clifton, C. Privacy preserving association rule mining in vertically partitioned data. In: 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 639–644. ACM Press (2002) - URL: https://www.cs.purdue.edu/homes/clifton/DistDM/kdd02.pdf (date of the application: 14.11.2015).

OZ02

12 Oliveira, S.R.M., Zaiane, O.R. Privacy preserving frequent itemset mining. In: IEEE icdm Workshop on Privacy, Security and Data Mining, vol. 14, pp. 43–54 (2002) - URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.2.2997&rep=rep1&type=pdf (date of the application: 14.11.2015).

BF05

13 Bertino, E., Fovino, I.N. Information driven evaluation of data hiding algorithms. In: 7th Internationa Conference on DataWarehousing and Knowledge Discovery, pp. 418–427 (2005) - URL: http://link.springer.com/chapter/10.1007%2F11546849_41 (date of the application: 11.12.2015).

JKM05

14 Jha,S., Kruger,L., McDaniel,P. Privacy Preserving Clustering. In: 10th ESORICS, pp. 3–11 (2005) - URL: http://siis.cse.psu.edu/pubs/esorics05.pdf (date of the application: 11.12.2015).


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