信息视图中的f -并行约简

2012 Fifth International Joint Conference on Computational Sciences and Optimization Pub Date : 2012-06-23 DOI:10.1109/CSO.2012.134

Lin Chen, Dayong Deng, Chunping Wang

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引用次数: 0

摘要

介绍了信息视图中的并行约简和信息视图中属性重要性矩阵的算法。在此基础上，定义了f属性在信息视图中的重要性，并研究了f属性在信息视图中的重要性。将其应用于并行约简中，提出了一种信息视图中具有f属性显著性的算法。实验表明，该方法与动态约简相比具有优势，不仅提高了时间效率，而且缩短了并行约简的长度。

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F-Parallel Reducts in the Information View

Parallel reducts in the information view and an algorithm with the matrix of attribute significance in the information view are introduced in this paper. Furthermore, F-attribute significance in the information view is defined, and its properties are investigated. We apply it to obtain parallel reducts, and an algorithm with F-attribute significance in the information view is proposed. Experiments show that our methods have advantages over dynamic reducts, and the new method not only improves the time efficiency but also decreases the length of parallel reducts.

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2012 Fifth International Joint Conference on Computational Sciences and Optimization

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