Abstract
This paper presents a hybrid model for improving the response time of distributed data mining (DDM). The hybrid DDM model uses cost formulae and prediction techniques to compute an estimate of the response time for a DDM process and applies a combination of client-server and mobile agent strategies based on the estimates to reduce the overall response time. Experimental results that establish the validity and demonstrate the improved response time of the hybrid model are presented.
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Krishnaswamy, S., Zaslavsky, A., Loke, S.W. (2003). A Hybrid Model for Optimising Distributed Data Mining. In: Das, S.R., Das, S.K. (eds) Distributed Computing - IWDC 2003. IWDC 2003. Lecture Notes in Computer Science, vol 2918. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24604-6_29
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DOI: https://doi.org/10.1007/978-3-540-24604-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20745-0
Online ISBN: 978-3-540-24604-6
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