期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2172-2174
出版社：TechScience Publications
摘要：In this, we focus on social networks, such as Facebook and Twitter, which gaining more importance in our daily life. Since the information exchanged over social networks are challenging test beds for the study of data mining. In particular, we are interested in the problem of detecting emerging topics from social streams, which can be used to create automated “breaking news”, or discover hidden market needs or underground political movements. Compared to conventional media, social media are able to capture the earliest, unedited voice of ordinary people. Therefore, the challenge is to detect the emergence of a topic as early as possible at a moderate number of false positives
