Abstract
The development of data intensive and knowledge-based applications on Grids is a research area that today is receiving significant attention. One of the main topics in that area is the implementation of distributed data mining applications using Grid computing services and distributed resource management facilities. This paper describes the development process of distributed data mining applications on Grids by using the KNOWLEDGE GRID framework. After a quick introduction to the system principles and a description of tools and services it offers to users, the paper describes the design and implementation of two distributed data mining applications by using the KNOWLEDGE GRID features and tools and gives experimental results obtained by running the designed applications on real Grids.
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© 2005 Springer-Verlag Berlin Heidelberg
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Bueti, G., Congiusta, A., Talia, D. (2005). Developing Distributed Data Mining Applications in the Knowledge Grid Framework. In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_13
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DOI: https://doi.org/10.1007/11403937_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25424-9
Online ISBN: 978-3-540-31854-5
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