传统的微博异常检测算法将用户和消息分开检测, 而随着异常用户的智能性越来越高,
检测效果显著下降. 本文提出了一个新的基于二部图的联合聚类框架同时检测异常用户和消息 …

With the increasing of anomalous user's intelligent, it is difficult to detect the anomalous
users and messages in microblogging. Most of the studies attempt to detect anomalous …

Traditional anomaly detection on microblogging mostly focuses on individual anomalous
users or messages. Since anomalous users employ advanced intelligent means, the …

伴随着社交媒体的快速发展, 微博类应用已经成为传统媒体以外的一个重要的信息来源.
如何及时且准确地从微博数据流中发现突发事件信息, 已成为数据挖掘领域近些年来的研究热点 …

摘要大数据时代的到来对传统媒体的影响首当其冲. 由互联网技术衍生出的一大批新媒体,
如Facebook, 微博, 微信等, 它们的生产方式和传播方式完全不同于传统媒体 …

The advent of online social media including Facebook, Twitter, Flickr and Youtube has
drawn massive attention in recent years. These online platforms generate massive data …

当代是共享信息的时代, 随手移动端的发展和网络普及化, 微博成为人们生活中一种不可或缺
获取信息的便捷途径, 它可以实现与他人分享, 交流, 互动信息等功能. 然而随着微博消息数量的 …

Microblog platforms have been extremely popular in the big data era due to its real-time
diffusion of information. It's important to know what anomalous events are trending on the …