arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1003.4066cs.DCcs.DB
收藏

数据网格中基于安全的数据采掘方法

A Security Based Data Mining Approach in Data Grid

S. Vidhya, S. Karthikeyan

摘要:

网格计算是分布式计算的下一个逻辑步骤。网格计算的主要目标是提供一种创新的方法来共享资源,如CPU使用、内存共享和软件共享。数据网格提供了对异构系统中语义相关数据资源的透明访问。该系统结合了数据采掘和网格计算技术,其中网格应用减少了同时向多个客户端发送结果的时间,并且计算网格上的数据采掘应用为用户提供快速和复杂的结果。本文采用基于网格的数据采掘技术,对基于概率挖掘的频繁序列算法进行自动分配。它发现频繁的序列,许多用户在同一时间与准确的结果。它还包括用于增强信任安全性的信任管理体系结构。

英文摘要:

Grid computing is the next logical step to distributed computing. Main objective of grid computing is an innovative approach to share resources such as CPU usage; memory sharing and software sharing. Data Grids provide transparent access to semantically related data resources in a heterogeneous system. The system incorporates both data mining and grid computing techniques where Grid application reduces the time for sending results to several clients at the same time and Data mining application on computational grids gives fast and sophisticated results to users. In this work, grid based data mining technique is used to do automatic allocation based on probabilistic mining frequent sequence algorithm. It finds frequent sequences for many users at a time with accurate result. It also includes the trust management architecture for trust enhanced security.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑