An Improved IAMB Algorithm for Markov Blanket Discovery
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| Title | An Improved IAMB Algorithm for Markov Blanket Discovery |
| Authors | |
| Abstract | Finding an efficient way to discover Markov blanket is one of the core issues in data mining. This paper first discusses the problems existed in IAMB algorithm which is a typical algorithm for discovering the Markov blanket of a target variable from the training data, and then proposes an improved algorithm λ-IAMB based on the improving approach which contains two aspects: code optimization and the improving strategy for conditional independence testing. Experimental results show that λ-IAMB algorithm performs better than IAMB by finding Markov blanket of variables in typical Bayesian network and by testing the performance of them as feature selection method on some well-known real world datasets. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-11-01 |
| Source | Journal of Computers Vol 5, No 11 (2010) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |