图 书 馆
在数值域亚群的发现On Subgroup Discovery in Numerical Domains |
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| 课程网址: | http://videolectures.net/ecmlpkdd09_grosskreutz_sdnd/ |
| 主讲教师: | Henrik Grosskreutz |
| 开课单位: | 弗劳恩霍夫协会 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discovery algorithms have been presented in the past, they focus on databases with nominal attributes or make use of discretization to get rid of the numerical attributes. In this paper, we illustrate why the replacement of numerical attributes by nominal attributes can result in suboptimal results. Thereafter, we present a new subgroup discovery algorithm that prunes large parts of the search space by exploiting bounds between related numerical subgroup descriptions. The same algorithm can also be applied to ordinal attributes. In an experimental section, we show that the use of our new pruning scheme results in a huge performance gain when more that just a few split-points are considered for the numerical attributes. |
| 关 键 词: | 名义属性数值属性; 剪枝算法; 数值属性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-11-13：yumf |
| 阅读次数: | 43 |