1. Agrawal, R., Srikant, R.: Privacy-preserving data mining. SIGMOD Rec. 29(2), 439–450 (2000).
http://doi.acm.org/10.1145/335191.335438
2. Ceri, S., Negri, M., Pelagatti, G.: Horizontal data partitioning in database design. In: Proceedings of the 1982 ACM SIGMOD International Conference on Management of Data, pp. 128–136. SIGMOD ’82, ACM, New York, NY, USA (1982).
http://doi.acm.org/10.1145/582353.582376
3. Clifton, C., Kantarcioglu, M., Vaidya, J., Lin, X., Zhu, M.: Tools for privacy preserving distributed data mining. ACM SIGKDD Explor. 4(2), 28–34 (2002).
http://www.cs.purdue.edu/homes/clifton/DistDM/kddexp.pdf
4. Gorgônio, F.L., Costa, J.A.F.: Parallel self-organizing maps with application in clustering distributed data. In: IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence), pp. 3276–3283. IEEE (2008)
5. Lecture Notes in Computer Science;S Han,2007