图 书 馆
多维数据的统计变化检测Statistical Change Detection for Multi-Dimensional Data |
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| 课程网址: | http://videolectures.net/kdd07_song_scd/ |
| 主讲教师: | Xiuyao Song |
| 开课单位: | 佛罗里达大学 |
| 开课时间: | 2007-08-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistical test called the density test for deciding if the observed data points are sampled from the underlying distribution that produced the baseline data set. We define a test statistic that is strictly distribution-free under the null hypothesis. Our experimental results show that the density test has substantially more power than the two existing methods for multi-dimensional change detection. |
| 关 键 词: | 多维数据; 密度测试; 统计测试 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-09：lxf |
| 阅读次数: | 126 |