Developing visualization applications is non-trivial and poses special challenges. This is due to the fact that typical visualization software processes a large amount of data res...
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
A closed form of autocorrelation functions about asymptotically self-similar processes is presented. The verification shows that this form best the realtrajfic data on Ethernet in...
This article is motivated by the importance of building web data mashups. Building on the remarkable success of Web 2.0 mashups, and specially Yahoo Pipes, we generalize the idea ...