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  5. ADMIRE framework: Distributed Data Mining on Data Grid platforms
 
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ADMIRE framework: Distributed Data Mining on Data Grid platforms

Author(s)
Le-Khac, Nhien-An  
Kechadi, Tahar  
Carthy, Joe  
Uri
http://hdl.handle.net/10197/7850
Date Issued
2006-09-14
Date Available
2016-09-02T10:16:54Z
Abstract
In this paper, we present the ADMIRE architecture; a new framework for developing novel and innovative data mining techniques to deal with very large and distributed heterogeneous datasets in both commercial and academic applications. The main ADMIRE components are detailed as well as its interfaces allowing the user to efficiently develop and implement their data mining applications techniques on a Grid platform such as Globus ToolKit, DGET, etc.
Type of Material
Conference Publication
Subjects

Data mining

Grid computing

Distributed systems

Heterogeneous dataset...

Web versions
http://www.icsoft.org/ICSOFT2006/
Language
English
Status of Item
Peer reviewed
Conference Details
International Conference on Software and Data Technologies (ICSOFT 2006), Setubal, Portugal, 11-14 September 2006
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

254_admireframework.pdf

Size

94.57 KB

Format

Adobe PDF

Checksum (MD5)

ada3233be67ec6be12a500c3d1443464

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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