.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
Textual information on the Web is very huge, varied, and useful. Although traditional text mining treats a text document as a single piece of information, this approach may not be suitable for Web documents that are long and heterogeneous in their contents. This article presents a new approach that applies the concept of a passage to Web text mining. In this approach, a single Web text document is considered as several passages instead of a single text. To investigate the effectiveness of the approach, Thai Web documents taken from the Internet are used. As our preliminary experiment, we explore the influence. of using passages on the construction of association rules by comparing them with a version that does not use passages. (C) 2004 Wiley Periodicals, Inc.
Keyword:
INFORMATION
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
3.1K
被引数:
8.1K
机构
暂无机构信息
.png){kind=icon}
