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通过文学异常检测创造性知识发现

Creative Knowledge Discovery by Literature Outlier Detection
课程网址: http://videolectures.net/ecmlpkdd09_petric_ckdlod/  
主讲教师: Ingrid Petrič
开课单位: 新戈里察大学
开课时间: 2009-10-20
课程语种: 英语
中文简介:
本文研究了异常值在基于文献的知识发现中的作用。它表明, 检测有趣的异常值出现在文学中关于一个特定的现象可以帮助产生新的似是而非的科学假设。其基本假设是, 虽然大多数领域的文献描述的事项与共同的理解领域, 一些特定的观察很少出现在文学可以表明一个有希望的方向小说发现。在我们称为 rajolink 的方法中使用了这种稀有性原则来指导知识发现过程。该方法侧重于在 rajolink 文献挖掘方法中实现的异常值在闭合发现过程中的作用。
课程简介: This paper investigates the role of outliers in literature-based knowledge discovery. It shows that detecting interesting outliers that appear in the literature about a given phenomenon can help generate novel plausible scientific hypotheses. The underlying assumption is that whereas the majority of domain literatures describe matters related to common understanding of the domain, some particular observations that appear rarely in the literature can indicate a promising direction towards novel discoveries. This rarity principle is used in our method called RaJoLink to guide the knowledge discovery process. The presented method focuses on the role of outliers in the closed discovery process as implemented in the RaJoLink literature mining methodology.
关 键 词: 文本挖掘; 数据挖掘; 机器学习
课程来源: 视频讲座网
最后编审: 2020-06-06:魏雪琼(课程编辑志愿者)
阅读次数: 26