Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
As scientific research becomes more data intensive, there is an increasing need for scalable, reliable, and high performance storage systems. Such data repositories must provide b...
Hoang Bui, Peter Bui, Patrick J. Flynn, Douglas Th...
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
In this paper, we present a volume roaming system dedicated to oil and gas exploration. Our system combines probebased volume rendering with data processing and computing. The dai...
Scientific experiments produce large volumes of data represented as complex objects that describe independent events such as particle collisions. Scientific analyses can be express...