Previous work on spatio-temporal analysis of news items and other documents has largely focused on broad categorization of small text collections by region or country. A system fo...
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
We developed and evaluated seven interfaces for integrating semantic category information with Web search results. List interfaces were based on the familiar ranked-listing of sea...
— A system is described that automatically categorizes and classifies infectious disease incidence reports by type and geographic location, to aid analysis by domain experts. It...
Michael D. Lieberman, Jagan Sankaranarayanan, Hana...
This paper consists of a review of contemporary that map and materialize abstract data as physical artifacts. With computing technology and the access of information influencing e...