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一个快速空间异常检测的轻轨框架A LRT Framework for Fast Spacial Anomaly Detection |
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| 课程网址: | http://videolectures.net/kdd09_jermaine_alrtffsad/ |
| 主讲教师: | Jermaine Christopher M |
| 开课单位: | 佛罗里达大学 |
| 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: |  |
| 课程简介: | Given a spatial data set placed on an n x n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithms that, given any user-supplied arbitrary likelihood function, conduct a likelihood ratio hypothesis test (LRT) over each rectangular region in the grid, rank all of the rectangles based on the computed LRT statistics, and return the top few most interesting rectangles. To speed this process, we develop methods to prune rectangles without computing their associated LRT statistics. |
| 关 键 词: | 空间数据集; 任意似然函数; 轻轨统计 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-14：cwx |
| 阅读次数: | 37 |