GRID-BASED PARALLEL DATA MINING

摘要：

Knowledge discovery in datasets integrated into Grids is a challenging research task. These large datasets are being collected and accumulated across a wide variety of fields, at a dramatic pace. They are often heterogeneous and geographically distributed and globally used by large user communities. In this paper, we proposed the scenario that deploys a grid-based parallel data mining service in the Globus 4 Framework and hosts within Jakarta-Tomcat as a container in detail, using OGSA-DAI for access to Grid Data Source. The work presented in this paper reveals specific requirement for applying grid-based data mining in the service-oriented grid environment.

关键词： grid service service-oriented Globus Toolkit 4 parallel data mining OGSA-DAI

作者: Jie Li Xiufeng Jiang

作者单位: College of Mathematics and Computer Science Fuzhou University, Fuzhou, Fujian, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 230-232

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）