Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...