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面向社会应用的网络挖掘与分析

Network Mining and Analysis for Social Applications
课程网址: http://videolectures.net/kdd2014_zhu_sun_social_applications/  
主讲教师: Huan Sun; Feida Zhu
开课单位: 加州大学圣巴巴拉分校计算机科学系;新加坡管理大学信息系统学院
开课时间: 2014-10-07
课程语种: 英语
中文简介:
最近社交网络和通信服务在公共和企业环境中的蓬勃发展产生了数量惊人的各种网络数据。与传统网络挖掘和分析中经常使用的生物网络和化学复合图数据不同,这些社会应用中产生的新网络数据具有属性丰富、异构性高、规模庞大、各种语义模式复杂等特点,对图/网络挖掘界提出了重大的研究挑战。在本教程中,我们的目标是研究社交应用程序的网络挖掘和分析方面的一些最新进展,从事件、关系、协作和网络模式的角度涵盖了各种方法和应用程序。我们将介绍问题设置、研究挑战、最近的研究进展和未来的一些方向。
课程简介: The recent blossom of social network and communication services in both public and corporate settings have generated a staggering amount of network data of all kinds. Unlike the bio-networks and the chemical compound graph data often used in traditional network mining and analysis, the new network data grown out of these social applications are characterized by their rich attributes, high heterogeneity, enormous sizes and complex patterns of various semantic meanings, all of which have posed significant research challenges to the graph/network mining community. In this tutorial, we aim to examine some recent advances in network mining and analysis for social applications, covering a diverse collection of methodologies and applications from the perspectives of event, relationship, collaboration and network pattern. We would present the problem setting, the research challenges, the recent research advances and some future directions for each perspective.
关 键 词: 社会应用; 网络挖掘; 通信服务; 网络模式
课程来源: 视频讲座网
数据采集: 2023-04-20:chenxin01
最后编审: 2023-05-18:chenxin01
阅读次数: 30