| 基于软计算的Web挖掘研究进展与前景 |
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| 引用本文： | 易高翔,胡和平. 基于软计算的Web挖掘研究进展与前景[J]. 计算机工程与设计, 2006, 27(10): 1805-1807 |
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| 作者姓名： | 易高翔 胡和平 |
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| 作者单位： | 华中科技大学,计算机科学与技术学院,湖北,武汉,430074;华中科技大学,计算机科学与技术学院,湖北,武汉,430074 |
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| 摘 要： | 概述了Web挖掘的组成部分、分类和现状,指出了现有一些Web挖掘方法的局限.介绍了目前比较新的技术--软计算技术,总结了软计算技术在Web挖掘中的应用.Web数据的固有无标记、不精确、异构性和动态性,处理人与机器的交互,上下文敏感性和近似查询,个性化学习,软计算都是很合适的解决方法.
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| 关 键 词： | 软计算 Web挖掘 粗糙集 模糊集 |
| 文章编号： | 1000-7024（2006）10-1805-03 |
| 收稿时间： | 2005-03-11 |
| 修稿时间： | 2005-03-11 |
Research progress and prospect of web mining based on soft computing |
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| YI Gao-xiang,HU He-ping. Research progress and prospect of web mining based on soft computing[J]. Computer Engineering and Design, 2006, 27(10): 1805-1807 |
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| Authors: | YI Gao-xiang HU He-ping |
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| Affiliation: | Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | The basic components, types, and current states of Web mining were summarized. The limitations of some of the existing Web mining methods and tools were pointed out. A survey of the application and progress on soft Web mining was provided. Web data, being inherently unlabeled, imprecise, heterogeneous, and dynamic, appears to be a very good candidate for its mining in the soft computing framework. Besides, context-sensitive and approximate queries, personalization and learning seem to be the good way in soft computing. The prospects of Web mining based soft computing is broad and inspiring. |
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| Keywords: | soft computing Web mining rough set fuzzy set |
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