摘要
为了在数据挖掘过程中既保护敏感信息和知识不被泄露,又使得到的挖掘结果相对准确,对XMASK算法进行改进。在重构原数据项支持度的过程中利用布尔集合的特性简化计数过程。通过实验将改进算法与原MASK算法和XMASK算法进行比对。结果表明,该算法提高了运行的时间效率。
How to prevent sensitive information and knowledge from leaking while getting relatively accurate mining results in the data mining process had become an important field of data mining re- search project. In this paper, based on XMASK algorithm, we used the features of Boolean set to sim- plify the counting distorted database process in the reconstruction of the original data support, which can significantly improve the time efficiency of MASK
出处
《重庆理工大学学报(自然科学)》
CAS
2012年第6期63-66,共4页
Journal of Chongqing University of Technology:Natural Science