使用修改后的ART对Web页面进行分类

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341) Pub Date : 1998-05-24 DOI:10.1109/CCECE.1998.682747

N. Vlajic, H. Card

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引用次数: 16

摘要

本文提出了一种改进的词频/逆文档频率模型和一种改进的自适应共振理论算法，并将其集成到一个自治代理中，以实现快速准确的超文本聚类。该代理已在Java中实现，并在各种Web数据集合上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Categorizing Web pages using modified ART

This paper describes a modified term-frequency/inverse document-frequency model together with a modified adaptive resonance theory algorithm, incorporated into an autonomous agent for rapid and accurate hypertext clustering. The agent has been implemented in Java, and tested on various Web data collections.

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来源期刊

Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)

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