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作者:

Ji, Jun-Zhong (Ji, Jun-Zhong.) (学者:冀俊忠) | Yan, Jing (Yan, Jing.) | Liu, Chun-Nian (Liu, Chun-Nian.)

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摘要:

Aiming at the hybrid algorithm I-B and B-MDL, an improved method is proposed. Firstly, it uses order-0 and partial order-1 independence tests to obtain an original Bayesian network structure. This reduces the number of independence tests and database passes while effectively restricting the search space. Secondly, it takes mutual information between nodes as heuristic knowledge perform sort order for candidate parent nodes, which increases the cut-offs of B and B search trees and accelerates the search process. The experimental results on the currency database show that the modified algorithm is quicker than some hybrid algorithms while keeping a high accuracy, and it can handle large data sets.

关键词:

Algorithms Artificial intelligence Computer networks Database systems Data mining Knowledge representation Learning algorithms

作者机构:

  • [ 1 ] [Ji, Jun-Zhong]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Yan, Jing]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Liu, Chun-Nian]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2006

期: 5

卷: 32

页码: 436-441

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