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以交互速度进行时间序列连接、主题At Last! Time Series Joins, Motifs, Discords and Shapelets at Interactive Speeds |
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| 课程网址: | https://videolectures.net/videos/kdd2016_keogh_interactive_speeds |
| 主讲教师: | Eamonn Keogh |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2016-11-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Given the ubiquity of time series, the last decade has seen a flurry of activity in time series data mining. Some of the most useful and frequently used primitives “reason” about the shapes of subsequences found in longer time series. Examples include Time Series Joins, Motifs, Discords and Shapelets. These primitives have found significant adoption, however they are all run in batch mode. For most non-trivial datasets, you start the process; you go to lunch (or on a short vacation!) and examine the results when you get back. What if you could solve such problems in interactive time? Well, now you can! With a new data structure call the Matrix Profile, interactive data mining of large datasets has become possible for the first time, and as we shall demonstrate, it is a game changer. |
| 关 键 词: | 交互速度; 时间序列; 数据挖掘 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2024-12-27：liyq |
| 最后编审: | 2024-12-28：liyq |
| 阅读次数: | 127 |