Categorizing Web pages using modified ART

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

引用次数: 16

Abstract

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.

查看原文本刊更多论文

使用修改后的ART对Web页面进行分类

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。

求助全文

约1分钟内获得全文求助全文

来源期刊

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

自引率

0.00%

发文量