图 书 馆
在象征性时间点和时间间隔数据中的时间模式挖掘Temporal Pattern Mining in Symbolic Time Point and Time Interval Data |
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| 课程网址: | http://videolectures.net/kdd2010_moerchen_tpm/ |
| 主讲教师: | Fabian Moerchen |
| 开课单位: | 西门子公司 |
| 开课时间: | 2010-10-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a unifying view of temporal concepts and data models in order to categorize existing approaches for unsupervised pattern mining from symbolic temporal data. We distinguish time point-based methods and interval-based methods as well as univariate and multivariate methods. For each of the main categories we present the most important algorithms. For time points, sequential pattern mining algorithms can be used to express equality and order of time points with gaps in multivariate data. Recently, efficient algorithms have been proposed to mine the more general concept of partial order from time points. For time interval data with precise start and end points the relations of Allen can be used to formulate patterns. Several alternatives and extensions have been proposed. We further point the audience to preprocessing methods from temporal data mining. |
| 关 键 词: | 时间概念; 数据模型; 时间间隔数据; 多变量数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-15：wuyq |
| 阅读次数: | 59 |