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网络和语义网的文本挖掘与链接分析

Text Mining and Link Analysis for Web and Semantic Web
课程网址: http://videolectures.net/kdd07_grobelnik_tmala/  
主讲教师: Blaž Fortuna; Dunja Mladenić; Marko Grobelnik
开课单位: 约瑟夫·斯特凡学院
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
Web数据的文本挖掘和链接分析教程将重点介绍分析Web数据时的两种主要分析方法:用于分析Web文档及其链接的文本挖掘和链接分析。首先,本教程将介绍处理文本和网络(图形)数据时的一些基本步骤和问题,这些数据显示了在没有非常复杂的技术的情况下可以实现的目标。第一部分的思想是呈现非结构化和半结构化数据的性质。接下来,在第二部分中,将展示更复杂的方法来解决更困难和更具挑战性的问题。在最后一部分中,我们将介绍一些当前的开放研究问题,并就解决上述问题的可用通行费提供一些实用的指导。
课程简介: The tutorial on Text Mining and Link Analysis for Web Data will focus on two main analytical approaches when analyzing web data: text mining and link analysis for the purpose of analyzing web documents and their linkage. First, the tutorial will cover some basic steps and problems when dealing with the textual and network (graph) data showing what is possible to achieve without very sophisticated technology. The idea of this first part is to present the nature of un-structured and semi-structured data. Next, in the second part, more sophisticated methods for solving more difficult and challenging problems will be shown. In the last part, some of the current open research issues will be presented and some practical pointers on the available tolls for solving previously mentioned problems will be provided.
关 键 词: 文本挖掘; 链接分析; 半结构化数据
课程来源: 视频讲座网
最后编审: 2019-11-18:cwx
阅读次数: 20