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在大型复杂网络聚类和分类

Classification and Clustering in Large Complex Networks
课程网址: http://videolectures.net/solomon_eliassi_rad_classification/  
主讲教师: Tina Eliasi-Rad
开课单位: 新泽西州立罗格斯大学
开课时间: 2011-06-14
课程语种: 英语
中文简介:
以结构复杂的图形表示的数据在当今无处不在。这方面的例子包括技术网络 (例如因特网)、信息网络 (例如万维网)、社交网络 (例如脸书的友谊图) 和生物网络 (例如蛋白质相互作用)。在本讲座中, 我将介绍此类网络数据中的关系分类和聚类算法。我将特别关注围绕可伸缩性、标签稀疏性、不同级别的关系依赖以及不同领域的性能一致性等问题。
课程简介: Data represented as graphs with complex structures are ubiquitous nowadays. Examples include technological networks (e.g., the Internet), informational networks (e.g., the World-Wide Web), social networks (e.g., Facebook's friendship graph), and biological networks (e.g., protein interactions). In this talk, I will present algorithms for both relational classification and clustering in such networked data. I will pay special attention to issues surrounding scalability, sparsity of labels, various levels of relational dependency, and performance consistency across assorted domains.
关 键 词: 网络技术; 信息网络; 社交网络; 生物网络
课程来源: 视频讲座网
最后编审: 2020-06-18:dingaq
阅读次数: 38