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  Multi-Cluster Text Mining on the Grid using the D-Grid UNICORE environment

Kumpf, K., Mevissen, T., Wäldrich, O., Ziegler, W., Ginzel, S., & Weuffel, T. (2007). Multi-Cluster Text Mining on the Grid using the D-Grid UNICORE environment.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-B13C-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-B13D-7
Genre: Conference Paper

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GES_paper81.pdf (Any fulltext), 666KB
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https://hdl.handle.net/11858/00-001M-0000-0013-B13E-5
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Creative Commons Attribution-NonCommercial-NoDerivs 2.5 http://creativecommons.org/licenses/by-nc-nd/2.5/
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 Creators:
Kumpf, Kai1, Author
Mevissen, Theo1, Author
Wäldrich, Oliver1, Author
Ziegler, Wolfgang1, Author
Ginzel, Sebastian1, Author
Weuffel, Thomas1, Author
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1External Organizations, ou_persistent22              

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Free keywords: Grid-Computing; e-Science
 Abstract: Text mining is inherently more computation-intensive than information retrieval on pre-structured data and requires transfer and filtering of huge amounts of data. Grid environments provide a suitable infrastructure for accomplishing these tasks. We present the mapping and implementation of a standard text mining (TM) workflow for analysis of biomedical text data from PubMed to a D-Grid UNICORE environment with multiple PC-clusters. We discuss the gain in applicability, the open issues of our solution and possible future enhancements.

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 Dates: 2007-04-172007-05-02
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 316606
 Degree: -

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Title: German e-Science Conference
Place of Event: Baden-Baden
Start-/End Date: 2007-05-02 - 2007-05-04

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