—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
In recent years, different commercial Weblog subscribing systems have been proposed to return stories from users' subscribed feeds. In this paper, we propose a novel clusteri...
Xin Li, Jun Yan, Zhi-Hong Deng, Lei Ji, Weiguo Fan...
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...