图 书 馆
异构信息网络挖掘中的节点表示Node Representation in Mining Heterogeneous Information Networks |
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| 课程网址: | https://videolectures.net/videos/kdd2016_sun_information_networks |
| 主讲教师: | Yizhou Sun |
| 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: | One of the challenges in mining information networks is the lack of intrinsic metric in representing nodes into a low dimensional space, which is essential in many mining tasks, such as recommendation and anomaly detection. Moreover, when coming to heterogeneous information networks, where nodes belong to different types and links represent different semantic meanings, it is even more challenging to represent nodes properly. In this talk, we will focus on two mining tasks, i.e., (1) content-based recommendation and (2) anomaly detection in heterogeneous categorical events, and introduce (1) how to represent nodes when different types of nodes and links are involved; and (2) how heterogeneous links play different roles in these tasks. Our results have demonstrated the superiority as well as the interpretability of these new methodologies. |
| 关 键 词: | 信息网络; 节点表示; 异常检测 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-01-07：liyq |
| 最后编审: | 2025-01-07：liyq |
| 阅读次数: | 9 |