In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
It is extremely hard for a global organization with services over multiple channels to capture a consistent and unified view of its data, services, and interactions. While SOA and...
Ismail Ari, Jun Li, Riddhiman Ghosh, Mohamed Dekhi...
The importance of service composition has been widely recognized in the Internet research community due to its high flexibility in allowing development of customized applications....
—Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...