Scalable knowledge discovery in point-to-multipoint environments

Authors:
Sungrae Cho
Affiliations:
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA
Venue:
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Year:
2003

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Abstract

In this paper, a scalable knowledge discovery (SKD) algorithm is proposed for point-to-multipoint environments. An analytical model is provided for the feedback suppression performance in the SKD scheme. This model is validated with simulation results. Numerical examples show that the feedbacks can be effectively suppressed by introducing SKD algorithm.