Classification Spanning Private Databases
Abstract
In this paper, we study the classification problem involving information spanning multiple private databases. The privacy challenges lie in the facts that data cannot be collected in one place and the classifier itself may disclose private information. We present a novel solution that builds the same decision tree classifier as if data are collected in a central place, but preserves the privacy of participating sites.
Cite
Text
Wang et al. "Classification Spanning Private Databases." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Wang et al. "Classification Spanning Private Databases." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/wang2006aaai-classification/)BibTeX
@inproceedings{wang2006aaai-classification,
title = {{Classification Spanning Private Databases}},
author = {Wang, Ke and Xu, Yabo and She, Rong and Yu, Philip S.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {293-298},
url = {https://mlanthology.org/aaai/2006/wang2006aaai-classification/}
}