|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
| ASCII Text | x | ||
| Ming-Jun Xiao, Liu-Sheng Huang, Yong-Long Luo, Hong Shen, "Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 239-243, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/PDCAT.2005.191, author = {Ming-Jun Xiao and Liu-Sheng Huang and Yong-Long Luo and Hong Shen}, title = {Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data}, journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2405-2}, pages = {239-243}, doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.191}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Parallel and Distributed Computing Applications and Technologies, International Conference on TI - Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data SN - 0-7695-2405-2 SP239 EP243 A1 - Ming-Jun Xiao, A1 - Liu-Sheng Huang, A1 - Yong-Long Luo, A1 - Hong Shen, PY - 2005 KW - null VL - 0 JA - Parallel and Distributed Computing Applications and Technologies, International Conference on ER - | |||
For the problem of decision tree classification with privacy concerns, we propose several efficient secure multi-party computation protocols to construct a privacy preserving ID3 algorithm over horizontally partitioned data among multiple parties. Our algorithm presents the first solution to privacy preserving decision tree classification among more than two parties. We also make a performance comparison with the existing solution, which is only applicable to the twoparty case. The result shows that our solution has a significantly better performance.
Citation:
Ming-Jun Xiao, Liu-Sheng Huang, Yong-Long Luo, Hong Shen, "Privacy Preserving ID3 Algorithm over Horizontally Partitioned Data," pdcat, pp.239-243, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.
