Abstract
This paper describes the implementation of a ScanOnce algorithm in SQL for quick association rule mining and the development of a data mining infrastructure JetGrid. The architecture of JetGrid is designed to be compatible with lower-level grid mechanisms since it is to operate on top of Relational Grid Monitoring Architecture (R-GMA) provided by European Data Grid (EDG). JetGrid for quick knowledge discovery was preliminarily prototyped and it is extensible, using an object-oriented design that was coded in C++. Mining agents will be staged to one or more computing elements on the EDG. They will mine data delivered using GridFTP and/or Globus transport mechanism. Some initial experimental results are presented, which provide some indication of the performance of the JetGrid data mining infrastructure on top of EDG.
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© 2004 Springer-Verlag Berlin Heidelberg
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Wang, F., Helian, N., Guo, Y., Thompson, S., Gordon, J. (2004). Prototype a Knowledge Discovery Infrastructure by Implementing Relational Grid Monitoring Architecture (R-GMA) on European Data Grid (EDG). In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_129
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DOI: https://doi.org/10.1007/978-3-540-24680-0_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21993-4
Online ISBN: 978-3-540-24680-0
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