Abstract
Data mining is a process of discovery of relationship, patterns and knowledge from data. The emergence of network-based cluster computing environment has created a natural demand for scalable techniques of data mining that can be exploit the full benefit of such environments. In this paper, we described system architecture for scalable and portable data mining architecture for clustered environment. The architecture contains modules for secure safe-thread communication, database connectivity, organized data management and efficient data analysis for generating global mining model.
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© 2002 Springer-Verlag Berlin Heidelberg
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Ashrafi, M.Z., Taniar, D., Smith, K.A. (2002). A Data Mining Architecture for Clustered Environments. In: Fagerholm, J., Haataja, J., Järvinen, J., Lyly, M., Råback, P., Savolainen, V. (eds) Applied Parallel Computing. PARA 2002. Lecture Notes in Computer Science, vol 2367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48051-X_10
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DOI: https://doi.org/10.1007/3-540-48051-X_10
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