【24h】

A Service-Centric Perspective for Data Mining in Complex Problem Solving Environments

机译:复杂问题解决环境中以服务为中心的数据挖掘视角

获取原文
获取原文并翻译 | 示例

摘要

Due to the increased computerization of many industrial, scientific, and public sectors, the growth of available digital data is proceeding at an unprecedented rate. As a result, the demand for highly automated data analysis and interpretation systems and tools is growing fast. Besides data growth, there has been an accelerating trend towards the sharing of computational resources (raw data storage and compute power, but also information and sophisticated information systems) via emerging Grid technologies. Both the impending data avalanche and the relentless desire to share computational resources present new challenges and opportunities for future data management, analysis and interpretation systems. This position paper analyzes some of these challenges and opportunities, and outlines the DataMiningGrid project, which will investigate and develop technology for future Grid-based data mining infrastructures.
机译:由于许多工业,科学和公共部门的计算机化程度越来越高,可用数字数据的增长正以前所未有的速度进行。结果,对高度自动化的数据分析和解释系统及工具的需求迅速增长。除数据增长外,通过新兴的网格技术共享计算资源(原始数据存储和计算能力,还有信息和复杂的信息系统)的趋势正在加速。即将到来的数据雪崩和对共享计算资源的不懈渴望都为未来的数据管理,分析和解释系统提出了新的挑战和机遇。本立场文件分析了其中一些挑战和机遇,并概述了DataMiningGrid项目,该项目将研究和开发用于未来基于Grid的数据挖掘基础设施的技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号