Social networks have been regarded as a timely and cost-effective source of spatio-temporal
information for many fields of application. However, while some research groups have …

Due to the explosive growth of social-media applications, enhancing event-awareness by
social mining has become extremely important. The contents of microblogs preserve …

In this paper, we describe a document clustering method called novelty-based document
clustering. This method clusters documents based on similarity and novelty. The method …

On the Internet, a large number of documents such as news articles and online journals are
delivered everyday. We often have to review major topics and topic transitions from a large …

People use social media (SM) to describe and discuss different situations they are involved
in, like crises. It is therefore worthwhile to exploit SM contents to support crisis management …

Document clustering has been used as a core technique in managing vast amount of data
and providing needed information. In on-line environments, generally new information gains …

Nowadays, a large number of georeferenced micro-posts, ie, short messages including
location information, are posted on social media sites. People transmit and collect …

With the advance of network technology in recent years, the dissemination and exchange of
massive documents has become commonplace. Accordingly, the importance of content …

This paper proposes a topic structure mining method for document sets that include time
stamps. Topic structure mining is a text mining method that uses the graph structure that …

In this paper, we present efficient, scalable, and portable parallel algorithms for the off-line
clustering, the on-line retrieval and the update phases of the Text Retrieval (TR) problem …