图 书 馆
原子内部：挖掘网络网络及其他Inside the Atoms: Mining a Network of Networks and Beyond |
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| 课程网址: | https://videolectures.net/videos/kdd2016_tong_mining_network |
| 主讲教师: | Hanghang Tong |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2016-10-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Networks (i.e., graphs) appears in many high-impact applications. Often these networks are collected from different sources, at different times, at different granularities. In this talk, I will present our recent work on mining such multiple networks. First, we will present two models - one on modeling a set of inter-connected networks (NoN); and the other on modeling a set of inter-connected co-evolving time series (NoT). For both models, we will show that by treating networks as context, we are able to model more complicate real-world applications. Second, we will present some algorithmic examples on how to do mining with such new models, including ranking, imputation and prediction. Finally, we will demonstrate the effectiveness of our new models and algorithms in some applications, including bioinformatics, and sensor networks. |
| 关 键 词: | 原子内部; 挖掘网络; 传感器网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2024-12-30：liyq |
| 最后编审: | 2024-12-30：liyq |
| 阅读次数: | 7 |