Distributed Privacy-preserving Data Mining Method Research

Traditional data mining system is mainly for the centralized data source, in a large number of distributed heterogeneous data environments, data mining, using the data dump is not only inefficient but also difficult way to complete the operation, there are still security problems in transmission process. Therefore, the value of the actual implementation is not optimistic. Web services are emerging in recent years, it s a distributed computing platform which provides a new solution ideas for building distributed data mining system. This paper presents a Web services-based distributed data mining architecture combined with the existing distributed data dining system not attach enough importance to the status of privacy protection, privacy protection features designed to meet the user of distributed data mining system to handle large-scale distributed heterogeneous data requirements, while the system scalability, interactivity, and security also than the previous system has greatly improved.