A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data

Authors:
R. Chen;K. Sivakumar
Affiliations:
-;-
Venue:
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Year:
2002

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Abstract

We present a novel approach for learning parametersof a Bayesian network from distributed heterogeneousdataset. In this case, the whole dataset is distributedin several sites and each site contains observations fora different subset of features. The new method usesthe collective learning approach proposed in our earlierwork and substantially reduces the computational andtransmission overhead. Theoretical analysis is givenand experimental results are provided to illustrate theaccuracy and efficiency of our method.