Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
It is a common phenomenon for research projects to collect and analyse valuable data using ad-hoc information systems. These costly-to-build systems are often composed of incompat...
Radu Calinescu, Steve Harris, Jeremy Gibbons, Jim ...
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Recently, skyline queries have attracted much attention in the database research community. Space partitioning techniques, such as recursive division of the data space, have been ...
Background: In biological and medical domain, the use of web services made the data and computation functionality accessible in a unified manner, which helped automate the data pi...
Wei Tan, Ravi K. Madduri, Aleksandra Nenadic, Stia...