A Novel Algorithm for Privacy Preserving Distributed Data Mining
Ehsan Molaei, Mehrdad Jalali, Hossein Vadiatizadeh · International Journal of Computer Applications · 2013
With the development of data mining science and information technology, distributed data mining was considered.Distributed data mining was submitted with different purposes, such as increasing the accuracy of result and using data from multiple sources.With the development of distributed data mining, challenges in this field were introduced soon.The main challenge was the issue of privacy preserving.In the past few years, solutions for this problem have been proposed but each one has had a weakness.Given the importance of knowledge, today's organizations need to Distributed Data Mining, Our goal in this article is to provide an approach that able to preserve the privacy in distributed mining.Our approach can be implemented on most of the algorithms.Proposed approach has been useed data encryption and some of techniques that used in security.