Structural learning about independence graphs from multiple databases

Authors:
Qiang Zhao;Hua Chen;Zhi Geng
Affiliations:
Peking University, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China
Venue:
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Year:
2007

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Abstract

In this paper, we propose an approach for structural learning of independence graphs from multiple databases or prior knowledge of conditional independencies. In our approach, we first learn a local graph from each database separately, and then we combine these local graphs together to construct a global graph over all variables. This approach can also be used in structural learning to utilize the prior knowledge of conditional independencies.