—A new interactive visualization tool is proposed for textual data mining based on bipartite graph visualization. Applications to three text datasets are presented to show the ca...
Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Ta...
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba...