图 书 馆
挖掘异构信息网络Mining Heterogeneous Information Networks |
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| 课程网址: | http://videolectures.net/kdd2013_han_heterogeneous_information/ |
| 主讲教师: | Jiawei Han |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2013-09-27 |
| 课程语种: | 英语 |
| 中文简介: |  现实世界中的大多数对象和数据是多种类型的，相互连接，形成复杂的，异构的但通常是半结构化的信息网络。但是，大多数网络科学研究者专注于同类网络，而没有区分网络中不同类型的对象和链接。我们将互连的，多类型的数据（包括典型的关系数据库数据）视为异构信息网络，研究如何利用网络中对象和链接的结构类型的丰富语义，并开发一种用于挖掘半结构化，多结构的结构分析方法。类型异构信息网络。在本文中，我们总结了一套可以有效地从此类信息网络中挖掘有用知识的方法，并指出了一些有前途的研究方向。 |
| 课程简介: | Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information networks. However, most network science researchers are focused on homogeneous networks, without distinguishing different types of objects and links in the networks. We view interconnected, multityped data, including the typical relational database data, as heterogeneous information networks, study how to leverage the rich semantic meaning of structural types of objects and links in the networks, and develop a structural analysis approach on mining semi-structured, multi-typed heterogeneous information networks. In this article, we summarize a set of methodologies that can effectively and efficiently mine useful knowledge from such information networks, and point out some promising research directions. |
| 关 键 词: | 信息网络; 知识挖掘 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-02-02：zyk |
| 最后编审: | 2021-03-11：zyk |
| 阅读次数: | 41 |