图 书 馆
对感兴趣的子组进行排名Ranking Interesting Subgroups |
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| 课程网址: | https://videolectures.net/videos/icml09_rueping_ris |
| 主讲教师: | Stefan Rüping |
| 开课单位: | 会议 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is a popular approach for identifying interesting patterns in data, because it effectively combines statistical significance with an understandable representation of patterns as a logical formula. However, it is often a problem that some subgroups, even if they are statistically highly significant, are not interesting to the user for some reason. In this paper, we present an approach based on the work on ranking Support Vector Machines that ranks subgroups with respect to the user’s concept of interestingness, and finds subgroups that are interesting to the user. It will be shown that this approach can significantly increase the quality of the subgroups. |
| 关 键 词: | 数据库; 识别数据; 子组质量 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-04-25：liyq |
| 最后编审: | 2025-04-25：liyq |
| 阅读次数: | 5 |