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半监督学习:对Web垃圾邮件和电话用户流失的比较研究

Semi-Supervised Learning: A Comparative Study for Web Spam and Telephone User Churn
课程网址: http://videolectures.net/ecml07_siklosi_ssl/  
主讲教师: David Siklosi
开课单位: 匈牙利科学院
开课时间: 2008-01-28
课程语种: 英语
中文简介:
我们比较了广泛的半监督学习技术, 包括 web 垃圾邮件过滤和电话用户流失分类。半继承学习的假设是, 图形中节点的标签与其相邻节点的标签相似。本文对网络垃圾邮件和电信流失的现象进行了度量。我们的结论是, 垃圾邮件往往链接到垃圾邮件, 而诚实的网页链接到诚实的;类似的搅动也发生在社交网络的组合中。
课程简介: We compare a wide range of semi-supervised learning techniques both for Web spam filtering and for telephone user churn classification. Semisupervised learning has the assumption that the label of a node in a graph is similar to those of its neighbors. In this paper we measure this phenomenon both for Web spam and telco churn. We conclude that spam is often linked to spam while honest pages are linked to honest ones; similarly churn occurs in bursts in groups of a social network.
关 键 词: 半监督学习; 计算机; 自动化
课程来源: 视频讲座网
最后编审: 2020-06-13:zyk
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