Bayesian network has been used extensively in data mining. The Privacy-Preserving data mining algorithm based on quantum ant colony optimization is proposed in this paper. The algorithm is based on distributed database. The algorithm is divided into two steps. In the first step, the modified quantum ant colony optimization algorithm is used to get the local Bayesian network structure. The purpose of the second step is getting the global Bayesian network structure by using local ones. In order to protect the privacy, the secure sum is used in the algorithm. The algorithm is proved to be convergent on theory. Some experiments have been done on the algorithm, and the results proved that the algorithm is feasible.
Jue, Wu; Lei, Yang; Lingxi, Peng; and Feng, Liu
"Privacy-Preserving Data Mining Algorithm Quantum Ant Colony Optimization,"
Applied Mathematics & Information Sciences: Vol. 07
, Article 34.
Available at: https://dc.naturalspublishing.com/amis/vol07/iss3/34