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Privacy-Preserving Data Mining Algorithm Quantum Ant Colony Optimization
- Source :
- Applied Mathematics & Information Sciences. 7:1129-1135
- Publication Year :
- 2013
- Publisher :
- Natural Sciences Publishing, 2013.
-
Abstract
- 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.
- Subjects :
- Structure (mathematical logic)
Numerical Analysis
Distributed database
Computer science
Applied Mathematics
Ant colony optimization algorithms
Bayesian network
computer.software_genre
Parallel metaheuristic
Computer Science Applications
Artificial bee colony algorithm
Computational Theory and Mathematics
Data mining
Quantum
Metaheuristic
computer
Analysis
Subjects
Details
- ISSN :
- 23250399 and 19350090
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics & Information Sciences
- Accession number :
- edsair.doi...........0f308fc89afe8367196dbe6467431564