Title :
A framework of Web-based text mining on the grid
Author :
Yu, Lean ; Wang, Shouyang ; Lai, Kin Keung ; Wu, Yue
Author_Institution :
Acad. of Math. & Syst. Sci., Chinese Acad. of Sci., Beijing, China
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.
Keywords :
Internet; data mining; grid computing; text analysis; Web based text mining; grid technology; knowledge discovery; Computational modeling; Computer interfaces; Data mining; Distributed computing; Grid computing; Large-scale systems; Mathematics; Problem-solving; Resource management; Text mining;
Conference_Titel :
Next Generation Web Services Practices, 2005. NWeSP 2005. International Conference on
Print_ISBN :
0-7695-2452-4
DOI :
10.1109/NWESP.2005.3