图 书 馆
出色的模型挖掘Exceptional Model Mining |
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| 课程网址: | http://videolectures.net/solomon_knobbe_emm/ |
| 主讲教师: | Arno Knobbe |
| 开课单位: | 乌得勒支大学 |
| 开课时间: | 2008-07-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In most databases, it is possible to identify small partitions of the data where the observeddistribution is notably different from that of the database as a whole. In classical subgroup discovery, one considers the distribution of a single nominal attribute, and exceptional subgroups show a surprising increase in the occurrence of one of its values. In this talk, I'll introduce Exceptional Model Mining (EMM), a framework that allows for more complicated target concepts. Rather than finding subgroups based on the distribution of a single target attribute, EMM finds subgroups where a model fitted to that subgroup is somehow exceptional. I'll discuss regression as well as classification models, and define quality measures that determine how exceptional a given model on a subgroup is. Our framework is general enough to be applied to many types of models, even from other paradigms such as association analysis and graphical modeling. |
| 关 键 词: | 数据库; 模型挖掘; 目标概念 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-22：cwx |
| 阅读次数: | 33 |