A framework of Web-based text mining on the grid

Lean Yu, Shouyang Wang, K. Lai, Yue Wu
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引用次数: 3

Abstract

This study proposes a novel Web-based text mining (WTM) framework on the grid, which firstly applies the grid technology to text mining system for improving the performance of WTM. The WTM system is to implement a high performance text mining process on the grid, and provide users with a high efficiency text mining and knowledge discovery services. We focus our discussion on the formulation of this framework for WTM system on the grid. In this study, firstly, a general framework of grid-based WTM is proposed, then a main process about WTM on the grid is described, and subsequently the implementation of the proposed grid-based WTM framework model is given. Finally, some conclusions are given.
基于web的网格文本挖掘框架
本文提出了一种基于网格的基于web的文本挖掘框架,首次将网格技术应用到文本挖掘系统中,提高了文本挖掘系统的性能。WTM系统是在网格上实现一个高性能的文本挖掘过程,为用户提供高效的文本挖掘和知识发现服务。本文重点讨论了网格上WTM系统框架的构建。本文首先提出了基于网格的WTM的一般框架,然后描述了基于网格的WTM的主要过程,最后给出了基于网格的WTM框架模型的实现。最后,给出了一些结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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