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2005 | OriginalPaper | Chapter
Parallel Learning of Bayesian Networks Based on Ordering of Sets
Authors : Tao Du, S. S. Zhang, Zongjiang Wang
Published in: Advances in Computer Science – ASIAN 2005. Data Management on the Web
Publisher: Springer Berlin Heidelberg
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In this paper, we firstly formulate the concept of “ordering of sets” to represent the relationships between classes of variables. And then a parallel algorithm with little inter-processors communication is proposed based on “ordering of sets”. In our algorithm, the search space is partitioned in an effective way and be distributed to multi-processors to be searched in parallel. The results of experiments show that, compared with traditional greedy DAG search algorithm, our algorithm is more effective, especially for large domains.