Web文本分类中属性选择方法的比较

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI:10.1109/ICCNT.2010.13

R. Saian, K. Ku-Mahamud

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引用次数: 3

摘要

本文研究了与Ant-Miner算法一起用于web文本分类的属性选择方法的性能。将每种属性选择方法生成的新数据集与Ant-Miner进行分类，从预测精度和生成的规则数量两方面观察性能。并将分类结果与C4.5算法进行比较。

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Comparison of Attribute Selection Methods for Web Texts Categorization

This paper presents a study on the performance of attribute selection methods to be used with Ant-Miner algorithm for web text categorization. The new generated data set by each attribute selection method was classified with Ant-Miner to see the performance in terms of predictive accuracy and the number of rules generated. The results of classification were also compared to C4.5 algorithm.

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来源期刊

2010 Second International Conference on Computer and Network Technology

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